Carpooling: facts and new trends

2015

Development and overall application of numerous advanced technologies (and services) affects significantly the improvement and availability of information with the aim of connecting the users of the carpooling system by passenger cars. Dynamic carpooling supported by Information-Communication (ICTS) and Location-Navigation Technologies and Services (LNTS) represents the upgrade of the traditional and casual carpooling and the modern method of connecting the users. In order to realize a better connection of users, the paper analyzes the characteristics of key software applications that can improve carpooling functioning. A systemic approach (according to research phases) allows identification of relevant factors of applying the technology for the needs of dynamic carpooling. The survey method was used to determine the needs of carpooling users within the traffic environment (traffic network). The aim of the carried out research is to identify the relevant factors of applying the tech...

2019

Abstract— Traffic congestion is a serious problem in many urban areas around the world, which generates endless negative impacts on society and the economy, among which are: air pollution due to carbon dioxide emissions, waste of fuel and increase travel time. In this sense, the Carpooling initiative, which is the dynamic in which a driver shares his car with one or more additional passengers who have a similar destination, emerges as one of the most effective solutions to deal with the problems generated by the vehicular congestion. This paper shows the development of an intelligent system for the use of Carpooling which allows users to have a tool to carry out this practice, which, unlike existing ones, allows access at any time and in any place to the user's data such as their current location, their destination, their tastes and personal preferences. To select the most optimal route, the ideal driver and the companions, the system uses one of the most used models in supervis...

2012

The wireless traffic safety network between cars (WiSafeCar) project aims at increasing the performance and reliability of the wireless transport and to provide traffic safety improvements. Within the context of this project, we have designed a dynamic carpooling system that will optimise the transport utilisation by the ride sharing among people who usually cover the same route. An initial and quick prototype of the system has been developed by using NetLogo. The information obtained from this simulator will be used to study the functioning of the clearing services, the current business models and to propose new ones. The first results seem encouraging in the sense that traffic decreases substantially, and the users have many economical advantages thanks to the sharing of costs which allows the individuals to retrench expenses and to contribute to the use of green technologies. She is currently a PhD Researcher at the Department of Telematic Engineering at the same university. Her research interests include multi-agent systems, game theory, self-organisation, reputation and trust.

International Journal of Computer Applications

Carpooling or ride-sharing systems are considered to be an economical efficient method to solve many traffic problems. Carpooling allows drivers to share their journeys with other passengers. This reduces passenger fares and travel time, in addition to traffic congestion, while also increasing driver income. So, several carpooling systems have been introduced in recent years. This research proposed a ridesharing analysis framework to find the shortest route between any two carpooling system nodes. Also, to represent how the matching process between passengers and drivers can be performed in an economical and efficient method to study the profitability for passenger/s and driver/s. The framework was applied to real carsharing test data and the recorded results showed a 40% saving for passengers and a high level of added revenue for drivers compared to the existing systems in the market.

Transportation Research Part A: General, 1987

Carpooling is the commuting mode of 18 to 20% of American workers, but relatively little definitive information has been available on who carpools, how and why. Based on data from the 1977-78 Nationwide Personal Transportation Survey, this paper analyzes the characteristics of carpoolers, distinguishes among different types of carpoolers, identifies the key differences between carpoolers and drive alone and transit commuters, describes how commuters carpool, and offers explanations of why commuters carnool. The Daoer also addresses the issue of the feasibility of a substantial increase in carpool mode iare.

Sustainability, 2021

This article proposes several new research directions regarding the future and sustainability of carpooling practices. The reflection is based on a systematic review of the literature (2010–2021) and a consideration of some of the main recent changes in carpooling, such as carpooling platforms and apps, and changes in lifestyles that may affect carpooling practices, such as telework. Carpooling is defined here as the sharing of short- or long-distance car rides between people who are not members of the same household, for a trip (or part of a trip) already scheduled by the driver, free of charge or expense sharing. After a description of the corpus selection method used, followed by a brief review of existing literature, we propose three new avenues for research. The first avenue is a call for greater consideration of forms of transport, other than carpooling, to work (or to the place of study), which remain poorly studied. The second avenue proposes the investigation of the role th...

Procedia - Social and Behavioral Sciences, 2011

Carpooling is a transport system based on a shared use of private cars. The mobility managers of the Università Statale and Politecnico di Milano universities are interested in promoting the use of such system among their students and employees. The paper presents an ongoing project to design, implement and test PoliUniPool, a car pooling service for such universities. The main characteristics of the PoliUniPool service are the following: (1) the use of the system is restricted to employees, faculty and students of the two universities; (2) besides suggesting a matching between the users, the system provides the expected schedule for their trips; (3) in addition to the campus premises, users can selectas destination of their car pooling tripsthe main railway and subway stations, in order to encourage the most environmental friendly means; (4) users are informed immediately in case of delay or changes, to improve the reliability of the service; (5) the system estimates the costs for each user, in order to let the users know how to share them; (6) the system has some social network functionalities, e.g. drivers are able to set partial prearranged crews; and users may indicate other users they would prefer to car-pool with ("friends") or they don't want to ("I don't like him/her"). A web-based software tool has been implemented to manage the matching of the users. In order to solve the carpooling problem, we use an heuristics, based on a guided Monte Carlo method. The algorithm minimizes an objective function, subject to user time windows and car capacity constraints. The objective function is a weighted sum of different terms in order to maximize the number of served users, minimizing the total route length, and maximizing the satisfied user preferences (e.g. friends). The result is a matching between drivers and passengers, their schedules and the routes to be driven by each driver. The trial of the proposed service will start on September 2011 and will take into account how to introduce and promote the service, identifying regulation, incentives, modalities, and marketing actions.

Facing today's growing urbanization, increasing environmental pollution, and changing socio-economical factors, efficient mobility concepts are needed that allow counteracting the resulting challenges. The concept of carpooling might represent one such solution for sustaining mobility and reducing traffic problems of congested cities. To exploit the potential of carpooling in general, and to improve the interaction with existing web-based carpooling platforms, user-centered research was applied. Empirical data were acquired by an online survey (N=1261), in which requirements and key motivators for the use of carpooling were explored in different user groups. Overall, a positive attitude toward the use of carpooling emerged, whereby costs saving, protection of environment, and stressfree driving were revealed to be the key drivers of usage behavior. The results showed though that user diversity is crucial: There are differing requirements on ridesharing systems between older and younger, male and female carpooling users as well as depending on peoples' status of employment. As the concept of carpooling is a valuable solution for cost and fuel effective traveling, it is relevant to enhance its success and to spread the idea in growing urban areas. Thus, considering users' diverse demands and wishes, and a diligent implementing of carpooling system refinements is promising.

IOSR Journals , 2019

Nowadays, Many citizens are looking for ways how to utilization present resources more effectively. In India, there is about 1-2 persons per car while the average car capacity is five people.Therefore, it is clear that carpooling has a huge efficiency potential in this matter. It is based on a shared use of personal cars. Carpooling saves a lot of time and fuel but most importantly, from the societal and environmental point of view, reducing air pollution. Carpooling consists of sharing individual car space among people with comparable trajectories. Carpooling has become an economy and stress-free system to transport around. In this paper, we present anoverview for a Cloud computing-based platform, meant to improve Sustainable Mobility. In particular, this discussion helps vehicle users in selecting a transport solution base to itsecological footprint, matching his/her needs, preferences, and actual location. This review work also shows rate of success for the carpooling system is highly dependent to the matched routes connecting directly points of origin and destination for participating riders and also increasing the number of connections from one to two which requires two consecutive changes of rides for a rider has the least impact on the rate of success.This review paper overviews the state of the art of new scheme of carpooling. It recognizesthe most important issues of the adoption of new carpooling systems and the proposed solutions for such issues.

Computers & Operations Research, 2022

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