01660274

Component

Traffic signals on urban highways force vehicles to stop frequently and thus causes excessive travel delay, extra fuel consumption and emissions, and increased safety hazards. To address these issues, this paper proposes an Individual Variable Speed Limits Method with Location Optimization (IVSL-LC) in coordination with pre-fixed traffic signals. This method dynamically imposes speed limits on some identified Target Controlled Vehicles (TCVs) with Vehicle to Infrastructures (V2I) communication ability at two IVSL units along an approaching lane. According to real-time traffic demand and signal timing information, the trajectories of each approaching vehicle are made to run smoothly without any full stop. Essentially, only TCVs’ trajectories need to be controlled and the other vehicles just follow TCVs with Gipps’ car-following model. The Dividing RECTangles (DIRECT) algorithm is used to optimize the locations of the IVSLs. Numerical simulation is conducted to compare the benchmark case without vehicle control, the individual advisory speed limits (IASL) and the proposed IVSL-LC. The result shows that compared with the benchmark, the IVSL-LC method can greatly increase traffic efficiency and reduce fuel consumption. Finally, the results of compliance analysis show that the effect of IVSL-LC improves as the compliance rate increases.

This paper was sponsored by TRB committee AHB30 Standing Committee on Vehicle-Highway Automation. Alternate title: Individualized Variable Speed Limits Method with Location Optimization at a Signalized Intersection.

18-03245

English

0000-0002-5264-3775

8p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References; Tables

Location; Numerical analysis; Optimization; Signalized intersections; Simulation; Variable speed limits; Vehicle to infrastructure communications

Highways; Operations and Traffic Management

Transportation Research Board Annual Meeting 2018 Paper #18-03245

TRIS, TRB, ATRI

Jan 8 2018 10:47AM