Synthetic polymer nanoparticles with antibody-like affinity for a hydrophilic peptide have been p... more Synthetic polymer nanoparticles with antibody-like affinity for a hydrophilic peptide have been prepared by inverse microemulsion polymerization. Peptide affinity was achieved in part by incorporating the target (imprint) peptide in the polymerization reaction mixture. Incorporation of the imprint peptide assists in the creation of complementary binding sites in the resulting polymer nanoparticle (NP). To orient the imprint peptide at the interface of the water and oil domains during polymerization, the peptide target was coupled with fatty acid chains of varying length. The peptide-NP binding affinities (90 nM~900 nM) were quantitatively evaluated by a quartz crystal microbalance (QCM). The optimal chain length was established that created high affinity peptide binding sites on the surface of the nanoparticles. This method can be used for the preparation of nanosized synthetic polymers with antibody-like affinity for hydrophilic peptides and proteins ("plastic antibodies").
Synthetic polymer nanoparticles with antibody-like affinity for a hydrophilic peptide have been p... more Synthetic polymer nanoparticles with antibody-like affinity for a hydrophilic peptide have been prepared by inverse microemulsion polymerization. Peptide affinity was achieved in part by incorporating the target (imprint) peptide in the polymerization reaction mixture. Incorporation of the imprint peptide assists in the creation of complementary binding sites in the resulting polymer nanoparticle (NP). To orient the imprint peptide at the interface of the water and oil domains during polymerization, the peptide target was coupled with fatty acid chains of varying length. The peptide-NP binding affinities (90 nM~900 nM) were quantitatively evaluated by a quartz crystal microbalance (QCM). The optimal chain length was established that created high affinity peptide binding sites on the surface of the nanoparticles. This method can be used for the preparation of nanosized synthetic polymers with antibody-like affinity for hydrophilic peptides and proteins ("plastic antibodies").
Synthetic polymer nanoparticles with antibody-like affinity for a hydrophilic peptide have been p... more Synthetic polymer nanoparticles with antibody-like affinity for a hydrophilic peptide have been prepared by inverse microemulsion polymerization. Peptide affinity was achieved in part by incorporating the target (imprint) peptide in the polymerization reaction mixture. Incorporation of the imprint peptide assists in the creation of complementary binding sites in the resulting polymer nanoparticle (NP). To orient the imprint peptide at the interface of the water and oil domains during polymerization, the peptide target was coupled with fatty acid chains of varying length. The peptide-NP binding affinities (90 nM~900 nM) were quantitatively evaluated by a quartz crystal microbalance (QCM). The optimal chain length was established that created high affinity peptide binding sites on the surface of the nanoparticles. This method can be used for the preparation of nanosized synthetic polymers with antibody-like affinity for hydrophilic peptides and proteins ("plastic antibodies").
The Portland Oregon Regional Transportation Archive Listing (PORTAL) is an online transportation ... more The Portland Oregon Regional Transportation Archive Listing (PORTAL) is an online transportation data archive that has been developed and is being expanded in cooperation with the Oregon Department of Transportation (ODOT) and other regional transportation agency partners. Since July 2004, PORTAL has been archiving a live data stream consisting of 20-second data from the 436 inductive loop detectors comprising the Portland area's Advanced Traffic Management System (ATMS). PORTAL, developed and maintained at Portland State University and run by students and faculty, is designated as the Portland region's official transportation data archive entity, as part of the region's ITS Architecture. The objective of this paper is to describe the development of PORTAL, to explain the steps taken to implement the Portland region's first functional ITS data archive, and to describe our plans for future development and expansion. The paper includes a discussion of PORTAL's structure, the techniques used for data storage, the data processing capabilities and the web-based user interface. We also present detailed descriptions of automated reports and performance measures that can be generated by users with access to the archive. In the future, the data archive will expand to include a statewide perspective, regional transit data, freeway incident data, city traffic signal data, and truck weigh-in-motion data.
Abstract. Transportation system performance measurement is a key issue for transportation plannin... more Abstract. Transportation system performance measurement is a key issue for transportation planning and operations, but until recently it has been difficult to incorporate real time intelligent transportation (ITS) data due to complexities in data formats and storage. To overcome this, in the ...
In the Portland metropolitan region, Metro is a unique elected regional government and also the m... more In the Portland metropolitan region, Metro is a unique elected regional government and also the metropolitan planning organization (MPO). Metro engages in some of the most advanced travel demand forecasting and transportation planning efforts in the U.S., and also provides targeted transportation performance measurements to its 1.3 million residents in three counties and 25 cities in the Portland, Oregon, region. Portland State University has partnered with Metro over the past several years to assist in improving the performance reporting and travel demand modeling by providing linkages to real-time freeway surveillance data through a new regional data archive-PORTAL (the Portland Oregon Regional Transportation Archive Listing). The objective of this paper is to describe how, working closely with Metro, the PSU research team has developed new performance metrics that can be directly incorporated into Metro's annual transportation system reporting. In addition, the paper will describe how the regional travel demand forecasting model has been improved using real-time freeway flow and speed data for the Highway 217 Corridor Study. By updating the Metro route assignment algorithm with recent, measured speed/flow data and developing new travel time/delay functions, the model has been shown to produce more realistic freeway travel characteristics. As more intelligent transportation systems (ITS) data become available, these examples can be extended to other cities and regions in the future.
The objective of this paper is to describe the implementation and status of the recently develope... more The objective of this paper is to describe the implementation and status of the recently developed archived data user service for the Portland, Oregon metropolitan area. Included in this paper will be a discussion of the hardware and software implementation used in building this system. Also, an update to our future design plans will be included. Along with the implementation details the reader will be given a short tour of the user interface. Several of the above points are complemented with comparisons of other systems that are being implemented elsewhere.
The implementation and status of the recently developed archived data user service for the Portla... more The implementation and status of the recently developed archived data user service for the Portland, Oregon metropolitan area is described. This includes a discussion of the hardware and software implementation used in building this system. The basic functionality of the data archive is presented along with an update of future design plans for the system. Along with the implementation details, a short tour of the user interface is included. The description of several of the data archive's features are complemented with comparisons of other systems that are being implemented elsewhere.
In the Portland metropolitan region, Metro is a unique elected regional government and also the m... more In the Portland metropolitan region, Metro is a unique elected regional government and also the metropolitan planning organization (MPO). Metro engages in some of the most advanced travel demand forecasting and transportation planning efforts in the U.S., and also provides targeted transportation performance measurements to its 1.3 million residents in three counties and 25 cities in the Portland, Oregon, region. Portland State University has partnered with Metro over the past several years to assist in improving the performance reporting and travel demand modeling by providing linkages to real-time freeway surveillance data through a new regional data archive-PORTAL (the Portland Oregon Regional Transportation Archive Listing). The objective of this paper is to describe how, working closely with Metro, the PSU research team has developed new performance metrics that can be directly incorporated into Metro's annual transportation system reporting. In addition, the paper will describe how the regional travel demand forecasting model has been improved using real-time freeway flow and speed data for the Highway 217 Corridor Study. By updating the Metro route assignment algorithm with recent, measured speed/flow data and developing new travel time/delay functions, the model has been shown to produce more realistic freeway travel characteristics. As more intelligent transportation systems (ITS) data become available, these examples can be extended to other cities and regions in the future.
The Portland Oregon Regional Transportation Archive Listing (PORTAL) is an online transportation ... more The Portland Oregon Regional Transportation Archive Listing (PORTAL) is an online transportation data archive that has been developed and is being expanded in cooperation with the Oregon Department of Transportation (ODOT) and other regional transportation agency partners. Since July 2004, PORTAL has been archiving a live data stream consisting of 20-second data from the 436 inductive loop detectors comprising the Portland area's Advanced Traffic Management System (ATMS). PORTAL, developed and maintained at Portland State University and run by students and faculty, is designated as the Portland region's official transportation data archive entity, as part of the region's ITS Architecture. The objective of this paper is to describe the development of PORTAL, to explain the steps taken to implement the Portland region's first functional ITS data archive, and to describe our plans for future development and expansion. The paper includes a discussion of PORTAL's structure, the techniques used for data storage, the data processing capabilities and the web-based user interface. We also present detailed descriptions of automated reports and performance measures that can be generated by users with access to the archive. In the future, the data archive will expand to include a statewide perspective, regional transit data, freeway incident data, city traffic signal data, and truck weigh-in-motion data.
Abstract. Transportation system performance measurement is a key issue for transportation plannin... more Abstract. Transportation system performance measurement is a key issue for transportation planning and operations, but until recently it has been difficult to incorporate real time intelligent transportation (ITS) data due to complexities in data formats and storage. To overcome this, in the ...
In the Portland metropolitan region, Metro is a unique elected regional government and also the m... more In the Portland metropolitan region, Metro is a unique elected regional government and also the metropolitan planning organization (MPO). Metro engages in some of the most advanced travel demand forecasting and transportation planning efforts in the U.S., and also provides targeted transportation performance measurements to its 1.3 million residents in three counties and 25 cities in the Portland, Oregon, region. Portland State University has partnered with Metro over the past several years to assist in improving the performance reporting and travel demand modeling by providing linkages to real-time freeway surveillance data through a new regional data archive-PORTAL (the Portland Oregon Regional Transportation Archive Listing). The objective of this paper is to describe how, working closely with Metro, the PSU research team has developed new performance metrics that can be directly incorporated into Metro's annual transportation system reporting. In addition, the paper will describe how the regional travel demand forecasting model has been improved using real-time freeway flow and speed data for the Highway 217 Corridor Study. By updating the Metro route assignment algorithm with recent, measured speed/flow data and developing new travel time/delay functions, the model has been shown to produce more realistic freeway travel characteristics. As more intelligent transportation systems (ITS) data become available, these examples can be extended to other cities and regions in the future.
The objective of this paper is to describe the implementation and status of the recently develope... more The objective of this paper is to describe the implementation and status of the recently developed archived data user service for the Portland, Oregon metropolitan area. Included in this paper will be a discussion of the hardware and software implementation used in building this system. Also, an update to our future design plans will be included. Along with the implementation details the reader will be given a short tour of the user interface. Several of the above points are complemented with comparisons of other systems that are being implemented elsewhere.
The implementation and status of the recently developed archived data user service for the Portla... more The implementation and status of the recently developed archived data user service for the Portland, Oregon metropolitan area is described. This includes a discussion of the hardware and software implementation used in building this system. The basic functionality of the data archive is presented along with an update of future design plans for the system. Along with the implementation details, a short tour of the user interface is included. The description of several of the data archive's features are complemented with comparisons of other systems that are being implemented elsewhere.
In the Portland metropolitan region, Metro is a unique elected regional government and also the m... more In the Portland metropolitan region, Metro is a unique elected regional government and also the metropolitan planning organization (MPO). Metro engages in some of the most advanced travel demand forecasting and transportation planning efforts in the U.S., and also provides targeted transportation performance measurements to its 1.3 million residents in three counties and 25 cities in the Portland, Oregon, region. Portland State University has partnered with Metro over the past several years to assist in improving the performance reporting and travel demand modeling by providing linkages to real-time freeway surveillance data through a new regional data archive-PORTAL (the Portland Oregon Regional Transportation Archive Listing). The objective of this paper is to describe how, working closely with Metro, the PSU research team has developed new performance metrics that can be directly incorporated into Metro's annual transportation system reporting. In addition, the paper will describe how the regional travel demand forecasting model has been improved using real-time freeway flow and speed data for the Highway 217 Corridor Study. By updating the Metro route assignment algorithm with recent, measured speed/flow data and developing new travel time/delay functions, the model has been shown to produce more realistic freeway travel characteristics. As more intelligent transportation systems (ITS) data become available, these examples can be extended to other cities and regions in the future.
The Portland Oregon Regional Transportation Archive Listing (PORTAL) is an online transportation ... more The Portland Oregon Regional Transportation Archive Listing (PORTAL) is an online transportation data archive that has been developed and is being expanded in cooperation with the Oregon Department of Transportation (ODOT) and other regional transportation agency partners. Since July 2004, PORTAL has been archiving a live data stream consisting of 20-second data from the 436 inductive loop detectors comprising the Portland area's Advanced Traffic Management System (ATMS). PORTAL, developed and maintained at Portland State University and run by students and faculty, is designated as the Portland region's official transportation data archive entity, as part of the region's ITS Architecture. The objective of this paper is to describe the development of PORTAL, to explain the steps taken to implement the Portland region's first functional ITS data archive, and to describe our plans for future development and expansion. The paper includes a discussion of PORTAL's structure, the techniques used for data storage, the data processing capabilities and the web-based user interface. We also present detailed descriptions of automated reports and performance measures that can be generated by users with access to the archive. In the future, the data archive will expand to include a statewide perspective, regional transit data, freeway incident data, city traffic signal data, and truck weigh-in-motion data.
Abstract. Transportation system performance measurement is a key issue for transportation plannin... more Abstract. Transportation system performance measurement is a key issue for transportation planning and operations, but until recently it has been difficult to incorporate real time intelligent transportation (ITS) data due to complexities in data formats and storage. To overcome this, in the ...
In the Portland metropolitan region, Metro is a unique elected regional government and also the m... more In the Portland metropolitan region, Metro is a unique elected regional government and also the metropolitan planning organization (MPO). Metro engages in some of the most advanced travel demand forecasting and transportation planning efforts in the U.S., and also provides targeted transportation performance measurements to its 1.3 million residents in three counties and 25 cities in the Portland, Oregon, region. Portland State University has partnered with Metro over the past several years to assist in improving the performance reporting and travel demand modeling by providing linkages to real-time freeway surveillance data through a new regional data archive-PORTAL (the Portland Oregon Regional Transportation Archive Listing). The objective of this paper is to describe how, working closely with Metro, the PSU research team has developed new performance metrics that can be directly incorporated into Metro's annual transportation system reporting. In addition, the paper will describe how the regional travel demand forecasting model has been improved using real-time freeway flow and speed data for the Highway 217 Corridor Study. By updating the Metro route assignment algorithm with recent, measured speed/flow data and developing new travel time/delay functions, the model has been shown to produce more realistic freeway travel characteristics. As more intelligent transportation systems (ITS) data become available, these examples can be extended to other cities and regions in the future.
The objective of this paper is to describe the implementation and status of the recently develope... more The objective of this paper is to describe the implementation and status of the recently developed archived data user service for the Portland, Oregon metropolitan area. Included in this paper will be a discussion of the hardware and software implementation used in building this system. Also, an update to our future design plans will be included. Along with the implementation details the reader will be given a short tour of the user interface. Several of the above points are complemented with comparisons of other systems that are being implemented elsewhere.
Synthetic polymer nanoparticles with antibody-like affinity for a hydrophilic peptide have been p... more Synthetic polymer nanoparticles with antibody-like affinity for a hydrophilic peptide have been prepared by inverse microemulsion polymerization. Peptide affinity was achieved in part by incorporating the target (imprint) peptide in the polymerization reaction mixture. Incorporation of the imprint peptide assists in the creation of complementary binding sites in the resulting polymer nanoparticle (NP). To orient the imprint peptide at the interface of the water and oil domains during polymerization, the peptide target was coupled with fatty acid chains of varying length. The peptide-NP binding affinities (90 nM~900 nM) were quantitatively evaluated by a quartz crystal microbalance (QCM). The optimal chain length was established that created high affinity peptide binding sites on the surface of the nanoparticles. This method can be used for the preparation of nanosized synthetic polymers with antibody-like affinity for hydrophilic peptides and proteins ("plastic antibodies").
Synthetic polymer nanoparticles with antibody-like affinity for a hydrophilic peptide have been p... more Synthetic polymer nanoparticles with antibody-like affinity for a hydrophilic peptide have been prepared by inverse microemulsion polymerization. Peptide affinity was achieved in part by incorporating the target (imprint) peptide in the polymerization reaction mixture. Incorporation of the imprint peptide assists in the creation of complementary binding sites in the resulting polymer nanoparticle (NP). To orient the imprint peptide at the interface of the water and oil domains during polymerization, the peptide target was coupled with fatty acid chains of varying length. The peptide-NP binding affinities (90 nM~900 nM) were quantitatively evaluated by a quartz crystal microbalance (QCM). The optimal chain length was established that created high affinity peptide binding sites on the surface of the nanoparticles. This method can be used for the preparation of nanosized synthetic polymers with antibody-like affinity for hydrophilic peptides and proteins ("plastic antibodies").
Synthetic polymer nanoparticles with antibody-like affinity for a hydrophilic peptide have been p... more Synthetic polymer nanoparticles with antibody-like affinity for a hydrophilic peptide have been prepared by inverse microemulsion polymerization. Peptide affinity was achieved in part by incorporating the target (imprint) peptide in the polymerization reaction mixture. Incorporation of the imprint peptide assists in the creation of complementary binding sites in the resulting polymer nanoparticle (NP). To orient the imprint peptide at the interface of the water and oil domains during polymerization, the peptide target was coupled with fatty acid chains of varying length. The peptide-NP binding affinities (90 nM~900 nM) were quantitatively evaluated by a quartz crystal microbalance (QCM). The optimal chain length was established that created high affinity peptide binding sites on the surface of the nanoparticles. This method can be used for the preparation of nanosized synthetic polymers with antibody-like affinity for hydrophilic peptides and proteins ("plastic antibodies").
The Portland Oregon Regional Transportation Archive Listing (PORTAL) is an online transportation ... more The Portland Oregon Regional Transportation Archive Listing (PORTAL) is an online transportation data archive that has been developed and is being expanded in cooperation with the Oregon Department of Transportation (ODOT) and other regional transportation agency partners. Since July 2004, PORTAL has been archiving a live data stream consisting of 20-second data from the 436 inductive loop detectors comprising the Portland area's Advanced Traffic Management System (ATMS). PORTAL, developed and maintained at Portland State University and run by students and faculty, is designated as the Portland region's official transportation data archive entity, as part of the region's ITS Architecture. The objective of this paper is to describe the development of PORTAL, to explain the steps taken to implement the Portland region's first functional ITS data archive, and to describe our plans for future development and expansion. The paper includes a discussion of PORTAL's structure, the techniques used for data storage, the data processing capabilities and the web-based user interface. We also present detailed descriptions of automated reports and performance measures that can be generated by users with access to the archive. In the future, the data archive will expand to include a statewide perspective, regional transit data, freeway incident data, city traffic signal data, and truck weigh-in-motion data.
Abstract. Transportation system performance measurement is a key issue for transportation plannin... more Abstract. Transportation system performance measurement is a key issue for transportation planning and operations, but until recently it has been difficult to incorporate real time intelligent transportation (ITS) data due to complexities in data formats and storage. To overcome this, in the ...
In the Portland metropolitan region, Metro is a unique elected regional government and also the m... more In the Portland metropolitan region, Metro is a unique elected regional government and also the metropolitan planning organization (MPO). Metro engages in some of the most advanced travel demand forecasting and transportation planning efforts in the U.S., and also provides targeted transportation performance measurements to its 1.3 million residents in three counties and 25 cities in the Portland, Oregon, region. Portland State University has partnered with Metro over the past several years to assist in improving the performance reporting and travel demand modeling by providing linkages to real-time freeway surveillance data through a new regional data archive-PORTAL (the Portland Oregon Regional Transportation Archive Listing). The objective of this paper is to describe how, working closely with Metro, the PSU research team has developed new performance metrics that can be directly incorporated into Metro's annual transportation system reporting. In addition, the paper will describe how the regional travel demand forecasting model has been improved using real-time freeway flow and speed data for the Highway 217 Corridor Study. By updating the Metro route assignment algorithm with recent, measured speed/flow data and developing new travel time/delay functions, the model has been shown to produce more realistic freeway travel characteristics. As more intelligent transportation systems (ITS) data become available, these examples can be extended to other cities and regions in the future.
The objective of this paper is to describe the implementation and status of the recently develope... more The objective of this paper is to describe the implementation and status of the recently developed archived data user service for the Portland, Oregon metropolitan area. Included in this paper will be a discussion of the hardware and software implementation used in building this system. Also, an update to our future design plans will be included. Along with the implementation details the reader will be given a short tour of the user interface. Several of the above points are complemented with comparisons of other systems that are being implemented elsewhere.
The implementation and status of the recently developed archived data user service for the Portla... more The implementation and status of the recently developed archived data user service for the Portland, Oregon metropolitan area is described. This includes a discussion of the hardware and software implementation used in building this system. The basic functionality of the data archive is presented along with an update of future design plans for the system. Along with the implementation details, a short tour of the user interface is included. The description of several of the data archive's features are complemented with comparisons of other systems that are being implemented elsewhere.
In the Portland metropolitan region, Metro is a unique elected regional government and also the m... more In the Portland metropolitan region, Metro is a unique elected regional government and also the metropolitan planning organization (MPO). Metro engages in some of the most advanced travel demand forecasting and transportation planning efforts in the U.S., and also provides targeted transportation performance measurements to its 1.3 million residents in three counties and 25 cities in the Portland, Oregon, region. Portland State University has partnered with Metro over the past several years to assist in improving the performance reporting and travel demand modeling by providing linkages to real-time freeway surveillance data through a new regional data archive-PORTAL (the Portland Oregon Regional Transportation Archive Listing). The objective of this paper is to describe how, working closely with Metro, the PSU research team has developed new performance metrics that can be directly incorporated into Metro's annual transportation system reporting. In addition, the paper will describe how the regional travel demand forecasting model has been improved using real-time freeway flow and speed data for the Highway 217 Corridor Study. By updating the Metro route assignment algorithm with recent, measured speed/flow data and developing new travel time/delay functions, the model has been shown to produce more realistic freeway travel characteristics. As more intelligent transportation systems (ITS) data become available, these examples can be extended to other cities and regions in the future.
The Portland Oregon Regional Transportation Archive Listing (PORTAL) is an online transportation ... more The Portland Oregon Regional Transportation Archive Listing (PORTAL) is an online transportation data archive that has been developed and is being expanded in cooperation with the Oregon Department of Transportation (ODOT) and other regional transportation agency partners. Since July 2004, PORTAL has been archiving a live data stream consisting of 20-second data from the 436 inductive loop detectors comprising the Portland area's Advanced Traffic Management System (ATMS). PORTAL, developed and maintained at Portland State University and run by students and faculty, is designated as the Portland region's official transportation data archive entity, as part of the region's ITS Architecture. The objective of this paper is to describe the development of PORTAL, to explain the steps taken to implement the Portland region's first functional ITS data archive, and to describe our plans for future development and expansion. The paper includes a discussion of PORTAL's structure, the techniques used for data storage, the data processing capabilities and the web-based user interface. We also present detailed descriptions of automated reports and performance measures that can be generated by users with access to the archive. In the future, the data archive will expand to include a statewide perspective, regional transit data, freeway incident data, city traffic signal data, and truck weigh-in-motion data.
Abstract. Transportation system performance measurement is a key issue for transportation plannin... more Abstract. Transportation system performance measurement is a key issue for transportation planning and operations, but until recently it has been difficult to incorporate real time intelligent transportation (ITS) data due to complexities in data formats and storage. To overcome this, in the ...
In the Portland metropolitan region, Metro is a unique elected regional government and also the m... more In the Portland metropolitan region, Metro is a unique elected regional government and also the metropolitan planning organization (MPO). Metro engages in some of the most advanced travel demand forecasting and transportation planning efforts in the U.S., and also provides targeted transportation performance measurements to its 1.3 million residents in three counties and 25 cities in the Portland, Oregon, region. Portland State University has partnered with Metro over the past several years to assist in improving the performance reporting and travel demand modeling by providing linkages to real-time freeway surveillance data through a new regional data archive-PORTAL (the Portland Oregon Regional Transportation Archive Listing). The objective of this paper is to describe how, working closely with Metro, the PSU research team has developed new performance metrics that can be directly incorporated into Metro's annual transportation system reporting. In addition, the paper will describe how the regional travel demand forecasting model has been improved using real-time freeway flow and speed data for the Highway 217 Corridor Study. By updating the Metro route assignment algorithm with recent, measured speed/flow data and developing new travel time/delay functions, the model has been shown to produce more realistic freeway travel characteristics. As more intelligent transportation systems (ITS) data become available, these examples can be extended to other cities and regions in the future.
The objective of this paper is to describe the implementation and status of the recently develope... more The objective of this paper is to describe the implementation and status of the recently developed archived data user service for the Portland, Oregon metropolitan area. Included in this paper will be a discussion of the hardware and software implementation used in building this system. Also, an update to our future design plans will be included. Along with the implementation details the reader will be given a short tour of the user interface. Several of the above points are complemented with comparisons of other systems that are being implemented elsewhere.
The implementation and status of the recently developed archived data user service for the Portla... more The implementation and status of the recently developed archived data user service for the Portland, Oregon metropolitan area is described. This includes a discussion of the hardware and software implementation used in building this system. The basic functionality of the data archive is presented along with an update of future design plans for the system. Along with the implementation details, a short tour of the user interface is included. The description of several of the data archive's features are complemented with comparisons of other systems that are being implemented elsewhere.
In the Portland metropolitan region, Metro is a unique elected regional government and also the m... more In the Portland metropolitan region, Metro is a unique elected regional government and also the metropolitan planning organization (MPO). Metro engages in some of the most advanced travel demand forecasting and transportation planning efforts in the U.S., and also provides targeted transportation performance measurements to its 1.3 million residents in three counties and 25 cities in the Portland, Oregon, region. Portland State University has partnered with Metro over the past several years to assist in improving the performance reporting and travel demand modeling by providing linkages to real-time freeway surveillance data through a new regional data archive-PORTAL (the Portland Oregon Regional Transportation Archive Listing). The objective of this paper is to describe how, working closely with Metro, the PSU research team has developed new performance metrics that can be directly incorporated into Metro's annual transportation system reporting. In addition, the paper will describe how the regional travel demand forecasting model has been improved using real-time freeway flow and speed data for the Highway 217 Corridor Study. By updating the Metro route assignment algorithm with recent, measured speed/flow data and developing new travel time/delay functions, the model has been shown to produce more realistic freeway travel characteristics. As more intelligent transportation systems (ITS) data become available, these examples can be extended to other cities and regions in the future.
The Portland Oregon Regional Transportation Archive Listing (PORTAL) is an online transportation ... more The Portland Oregon Regional Transportation Archive Listing (PORTAL) is an online transportation data archive that has been developed and is being expanded in cooperation with the Oregon Department of Transportation (ODOT) and other regional transportation agency partners. Since July 2004, PORTAL has been archiving a live data stream consisting of 20-second data from the 436 inductive loop detectors comprising the Portland area's Advanced Traffic Management System (ATMS). PORTAL, developed and maintained at Portland State University and run by students and faculty, is designated as the Portland region's official transportation data archive entity, as part of the region's ITS Architecture. The objective of this paper is to describe the development of PORTAL, to explain the steps taken to implement the Portland region's first functional ITS data archive, and to describe our plans for future development and expansion. The paper includes a discussion of PORTAL's structure, the techniques used for data storage, the data processing capabilities and the web-based user interface. We also present detailed descriptions of automated reports and performance measures that can be generated by users with access to the archive. In the future, the data archive will expand to include a statewide perspective, regional transit data, freeway incident data, city traffic signal data, and truck weigh-in-motion data.
Abstract. Transportation system performance measurement is a key issue for transportation plannin... more Abstract. Transportation system performance measurement is a key issue for transportation planning and operations, but until recently it has been difficult to incorporate real time intelligent transportation (ITS) data due to complexities in data formats and storage. To overcome this, in the ...
In the Portland metropolitan region, Metro is a unique elected regional government and also the m... more In the Portland metropolitan region, Metro is a unique elected regional government and also the metropolitan planning organization (MPO). Metro engages in some of the most advanced travel demand forecasting and transportation planning efforts in the U.S., and also provides targeted transportation performance measurements to its 1.3 million residents in three counties and 25 cities in the Portland, Oregon, region. Portland State University has partnered with Metro over the past several years to assist in improving the performance reporting and travel demand modeling by providing linkages to real-time freeway surveillance data through a new regional data archive-PORTAL (the Portland Oregon Regional Transportation Archive Listing). The objective of this paper is to describe how, working closely with Metro, the PSU research team has developed new performance metrics that can be directly incorporated into Metro's annual transportation system reporting. In addition, the paper will describe how the regional travel demand forecasting model has been improved using real-time freeway flow and speed data for the Highway 217 Corridor Study. By updating the Metro route assignment algorithm with recent, measured speed/flow data and developing new travel time/delay functions, the model has been shown to produce more realistic freeway travel characteristics. As more intelligent transportation systems (ITS) data become available, these examples can be extended to other cities and regions in the future.
The objective of this paper is to describe the implementation and status of the recently develope... more The objective of this paper is to describe the implementation and status of the recently developed archived data user service for the Portland, Oregon metropolitan area. Included in this paper will be a discussion of the hardware and software implementation used in building this system. Also, an update to our future design plans will be included. Along with the implementation details the reader will be given a short tour of the user interface. Several of the above points are complemented with comparisons of other systems that are being implemented elsewhere.
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