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Title: Parking Variable Message Sign Display Problem: Variant Release Strategy with Space Occupancy Indicator
Accession Number: 01553698
Record Type: Component
Availability: Transportation Research Board Business Office 500 Fifth Street, NW Abstract: With the continuous growth of vehicle ownership in large cities, parking guidance system and parking information release strategies have gradually become a hot topic for research and applications. Parking Variable Message Sign (parking VMS) is an important tool to provide parking information, particularly in displaying the information of space availability to en-route drivers. The aim of this study is to describe drivers’ responses to the parking VMSs dynamically, and try to solve the problem in providing parking information to drivers. To ensure guiding effectiveness, assisting drivers to identify parking lots with available spaces, the display strategies of parking VMS were studied. This paper proposed a discriminated release strategy with Space Occupancy Indicator (SOI) to determine the display of parking VMS and a dynamic simulation was introduced by using parking choice model and traffic assignment algorithm. Guiding reliability and display strategies were analyzed, and a discriminated release strategy with SOI was proposed. The results show that the guiding reliability can be promoted by reducing SOI of the corresponding parking lot. Moreover, the uniform guiding reliabilities of parking lots were obtained by repeating process of modification of SOI. Performances of the methods are practical, under the condition that the parking choice model consisting of waiting time is further investigated. The discriminated release strategy presented in this study will assist in designing urban parking guidance system.
Supplemental Notes: This paper was sponsored by TRB committee AND20 User Information Systems. Alternate title: Study on Parking Variable Message Sign Display Problem: A Discriminated Release Strategy with Space Occupancy Indicator.
Monograph Title: Monograph Accession #: 01550057
Report/Paper Numbers: 15-3923
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Ni, Xun-YouSun, Daniel (Jian)Zhang, Li-HuiPagination: 21p
Publication Date: 2015
Conference:
Transportation Research Board 94th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References
TRT Terms: Uncontrolled Terms: Geographic Terms: Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I73: Traffic Control
Source Data: Transportation Research Board Annual Meeting 2015 Paper #15-3923
Files: TRIS, TRB, ATRI
Created Date: Dec 30 2014 1:17PM
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