01660450

Component

Connected and automated vehicle (CAV) technologies offer promising solutions for challenges facing our transportation systems. Vehicle trajectory control and traffic signal control based on CAV technologies are two approaches that have significant potential to mitigate congestion, lessen the risk of crashes, reduce fuel consumption, and decrease emissions at signalized intersections. These two approaches should be integrated in a single process such that both aspects can be optimized simultaneously to achieve maximum benefits. This paper proposes an efficient DP-SH (dynamic programming with shooting heuristic as a subroutine) algorithm for the integrated optimization problem that can simultaneously optimize the trajectories of CAVs and signal timing and phasing of traffic signal controllers, and develops a two-step approach (DP-SH and trajectory optimization) to effectively obtain near-optimal signal timing and trajectory control plans. Numerical experiments are conducted and proves efficiency and performance of the proposed optimization framework.

This paper was sponsored by TRB committee AHB30 Standing Committee on Vehicle-Highway Automation.

18-06675

English

0000-0002-8184-5157

7p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References; Tables

Algorithms; Connected vehicles; Heuristic methods; Optimization; Traffic signal control systems; Vehicle trajectories

Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment

Transportation Research Board Annual Meeting 2018 Paper #18-06675

TRIS, TRB, ATRI

Jan 8 2018 11:43AM