A micro-simulation study on proactive coordinated ramp metering for relieving freeway congestion

Author:

Wang Xu12,Qiu Tony Z.2,Niu Lei13,Zhang Ruhua1,Wang Lu1

Affiliation:

1. School of Civil Engineering, Shandong University, Jinan 250061, China.

2. Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 2W2, Canada.

3. Shandong Provincial Investigation and Survey Institute of Urban and Rural Construction, Jinan 250031, China.

Abstract

To relieve freeway congestion during peak periods, ramp metering (RM) is often implemented to control the input flow from onramps on freeways. Many studies focus on proactive coordinated RM controls; however, successful implementation of proactive RM control still requires a more accurate prediction model and a less complex control algorithm. To this end, this study tests a proactive RM approach in micro-simulation, with goals to improve network-wide travel time and traffic flow. A METANET-based dynamic traffic model was adopted as a prediction model within a predictive control framework. The evaluation revealed a 6.50% amelioration in total travel time on the mainline and a 2.52% reduction of total time spent in the network. The applied algorithm was compared with the HERO algorithm and implemented in various peak demand scenarios. This analysis could lead to efficient and effective field applications of proactive coordinated RM control to improve freeway operation.

Publisher

Canadian Science Publishing

Subject

General Environmental Science,Civil and Structural Engineering

Reference30 articles.

1. Model predictive control for ramp metering of motorway traffic: A case study

2. Isolated versus coordinated ramp metering: Field evaluation results of travel time reliability and traffic impact

3. Cambridge Systematics. 2001. Twin Cities ramp meter evaluation – final report. Oakland, California.

4. Cambridge Systematics. 2002. MnDOT ramp meter evaluation: Phase II evaluation report. Oakland, California.

5. Freeway On-Ramp Design Criteria for Ramp Meters with Excessive Queue Detectors

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