01557777

Component

This paper studies a simulation-based adaptive traffic signal control problem for a highly congested urban network with multimodal traffic, numerous signalized intersections, short links and a grid-type topology. The adaptive traffic signal plan strategy is embedded within the microsimulator. The authors build different demand scenarios in the simulator and use a simulation-based optimization (SO) algorithm to design the most appropriate signal plan for each demand level, where the objective function explicitly accounts for queue-length information. The authors then use this simulation-based adaptive traffic signal control algorithm to identify the signal plans for an area in eastern Manhattan (New York City, USA), where spillbacks frequently occur and impact the flows on major arterials as well as on the access/egress to the highly congested Queensboro Bridge. The authors compare the performance of the proposed signal plans to that of the prevailing signal plan in the field. The proposed plan indeed improves traffic conditions as measured by a variety of performance metrics.

This paper was sponsored by TRB committee AHB25 Traffic Signal Systems.

01550057

15-4140

English

21p

2015

Transportation Research Board 94th Annual Meeting

Digital/other

Figures; References

Adaptive control; Algorithms; Optimization; Queuing; Traffic flow; Traffic signal control systems; Traffic simulation; Travel demand

Manhattan (New York, New York)

Highways; Operations and Traffic Management; I73: Traffic Control

Transportation Research Board Annual Meeting 2015 Paper #15-4140

TRIS, TRB, ATRI

Dec 30 2014 1:21PM