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Title: Simulation Study of the Impact of Local Real-Time Traffic Information Provision Strategy in Connected Vehicle Systems
Accession Number: 01627684
Record Type: Component
Abstract: Current vehicle navigation systems usually rely on global real-time traffic information and suggest the best path to travelers through independent and selfish-routing mechanism. Existing studies show that such systems have a great potential to causes traffic congestions oscillating among several alternative corridors, i.e., leading exceeding traffic into one light traffic corridor and then another within a short time period. To address this issue, this research proposes a local information provision strategy, given travelers are still guided through independent and selfish-routing mechanism. The coverage of the real-time information provision is identified by the minimum bonding rectangle, and the ellipse method respectively. The benefits of the proposed strategy in system level are investigated by the simulation studies built upon the Borman expressway network. The simulation results indicate that the local information provision strategy may save 10-25% of the system travel time resulting from global information provision strategy under medium or high network traffic load. Moreover, the sensitivity analysis indicates that the merits of the local information provision strategy are more significant as the penetration of smart vehicles increases over the network. Thus, the proposed local information provision strategy outperforms global information provision strategy in system level network performance.
Supplemental Notes: This paper was sponsored by TRB committee AHB15 Standing Committee on Intelligent Transportation Systems.
Monograph Title: Monograph Accession #: 01618707
Report/Paper Numbers: 17-03069
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Chen, ShuweiDu, LiliPagination: 14p
Publication Date: 2017
Conference:
Transportation Research Board 96th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References
TRT Terms: Subject Areas: Data and Information Technology; Highways; Planning and Forecasting
Source Data: Transportation Research Board Annual Meeting 2017 Paper #17-03069
Files: TRIS, TRB, ATRI
Created Date: Dec 8 2016 11:09AM
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