B. J. Waterson
Quantifying the potential savings in travel time resulting from parking guidance systems—a simulation case study
Waterson, B. J.; Hounsell, N. B.; Chatterjee, K.
Abstract
Parking Guidance and Information (PGI) signs are thought to enable a more efficient use of the available parking stock. Despite the installation of PGI systems in many cities and their operation for a number of years, there is a lack of reliable evidence of the size of the benefits that these systems can achieve. This paper describes the development of driver parking choice models (both during the journey and pre-trip) and the implementation of these models in the existing network traffic simulation model RGCONTRAM. Besides quantifying the effects of the PGI system on both the drivers seeking suitable parking spaces and the parking stock itself, this also enables quantification of the impact of parking choice on the wider network. Factors influencing PGI effectiveness are described and conclusions are drawn that illustrate the potential of PGI to induce the demand to spread more efficiently across the parking stock. © 2001 Operational Research Society Ltd. All Rights Reserved.
Journal Article Type | Article |
---|---|
Publication Date | Jan 1, 2001 |
Journal | Journal of the Operational Research Society |
Print ISSN | 0160-5682 |
Electronic ISSN | 1476-9360 |
Publisher | Taylor & Francis |
Peer Reviewed | Peer Reviewed |
Volume | 52 |
Issue | 10 |
Pages | 1067-1077 |
DOI | https://doi.org/10.1057/palgrave.jors.2601207 |
Keywords | vehicle routing, car parking, traffic assignment, driver information, simulation |
Public URL | https://uwe-repository.worktribe.com/output/1092178 |
Publisher URL | http://dx.doi.org/10.1057/palgrave.jors.2601207 |
Additional Information | Additional Information : Summative findings of research conducted at University of Southampton as part of a major collaborative three year EPSRC project with University of Leeds and Imperial College. Chatterjee managed Southampton's part of project and designed simulation model to incorporate parking decisions. |
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