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Title: Development of A Jam-Absorption Driving Strategy for Mitigating Stop-And-Go Waves
Accession Number: 01660538
Record Type: Component
Abstract: Traffic oscillations (stop-and-go waves) in congested freeway traffic significantly reduce travel efficiency and safety. Previous jam-absorption driving strategies did not consider the secondary oscillations caused by the controlled vehicles. In this paper, the authors proposed an optimal jam-absorption driving strategy to mitigate traffic oscillations. Firstly, the strategy determined the critical starting and ending point of an oscillation at the temporal and spatial dimensions based on the wavelet transform and steady equilibrium condition of car-following driving. Then different controlled vehicles were tested by given absorbing speeds. Various measurements were considered to evaluate the performance of the strategy for different controlled vehicles. The optimal solution was obtained which guide the controlled vehicle to move slowly before reaching the downstream oscillation. In such way, the strategy created a gap to eliminate the downstream oscillation but also avoid causing disturbances to the upstream traffic. The Intelligent Driver Model (IDM) was modified to build the simulation platform and evaluate the control effects. The results showed that the proposed strategy effectively reduced the severity of traffic oscillations, or even fully eliminate the oscillations with a proper absorbing speed by an absorbing vehicle. The optimal control strategies reduced travel time by total travel time (TTT), and decreased crash risks by Time Exposed Time-to-collision (TET) and time Integrated Time-to collision (TIT). The authors also compared their strategy with a previous one and the results suggested that theirs had better performances.
Supplemental Notes: This paper was sponsored by TRB committee AHB45 Standing Committee on Traffic Flow Theory and Characteristics. Alternate title: Optimal Jam-Absorption Driving Strategy for Mitigating Traffic Oscillations Considering Secondary Waves.
Report/Paper Numbers: 18-04228
Language: English
Authors: Zheng, YuanRan, BinZhang, JianLi, ZhibinRui, YikangPagination: 8p
Publication Date: 2018
Conference:
Transportation Research Board 97th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Subject Areas: Highways; Operations and Traffic Management; Vehicles and Equipment
Source Data: Transportation Research Board Annual Meeting 2018 Paper #18-04228
Files: TRIS, TRB, ATRI
Created Date: Jan 8 2018 11:02AM
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