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Freeway Traffic Control in Presence of Capacity Drop

Authors :
Simon Hu
Pengjun Zheng
Senlin Cheng
Xianghua Yu
Yibing Wang
Jingqiu Guo
Siyu Zhang
Lihui Zhang
Heng Wei
Source :
IEEE Transactions on Intelligent Transportation Systems. 22:1497-1516
Publication Year :
2021
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2021.

Abstract

Capacity drop at congested freeway bottlenecks is well known with a lot of field observations. This paper studies coordinated ramp metering (RM) and mainstream traffic flow control (MTFC) as well as their integration (RM+MTFC) for freeway traffic, with particular attention to effects of capacity drop on the performance of traffic control measures. Via mathematical analysis and comprehensive simulation studies under an optimal control framework, the work has revealed a capacity-drop-related mechanism that MTFC and ramp metering are based on to take effects, and obtained a number of important conclusions: (1) applications of any control measure (RM, MTFC, or RM+MTFC) in freeways are justified by the existence of capacity drop in field; (2) an appropriate usage of the control measures can effectively prevent the activation of potential bottlenecks on freeways and hence avoid capacity drop; (3) any control measure is beneficial for a large majority of the driver population in a freeway network if it can manage to increase the accumulated total network exit flow; (4) it is a common misconception that ramp metering would simply transfer traffic loads from the freeway mainstream to on-ramps. The work has also highlighted the strengths, weaknesses, and applicability of ramp metering and MTFC.

Details

ISSN :
15580016 and 15249050
Volume :
22
Database :
OpenAIRE
Journal :
IEEE Transactions on Intelligent Transportation Systems
Accession number :
edsair.doi...........350f23bb050f1c650524004f3a718480