A STUDY ON INCIDENT TRAFFIC CONTROL STRATEGY FOR URBAN EXPRESSWAY
Shihao Zeng, Xia Yang
Abstract
Shihao Zeng, Xia Yang
Abstract
Due to the closer connection with the street surface network and shorter distance between ramps than to freeways, traffic on an urban expressway network is more sensitive to incidents and it is difficult to relieve heavy congestion by only speed limits and VMS. This study attempts to find an effective approach to relieve congestion caused by traffic incidents. Information provision, speed limits, and on-ramp metering are considered simultaneously in this approach. The main contribution of this research is the introduction of this approach, including the model and the algorithm. The authors also provide comparisons between the approach detailed here and some other approaches as an explanation of the effect for dispersing traffic queues and relieving traffic congestion.
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Due to the closer connection with the street surface network and shorter distance between ramps than to freeways, traffic on an urban expressway network is more sensitive to incidents and it is difficult to relieve heavy congestion by only speed limits and VMS. This study attempts to find an effective approach to relieve congestion caused by traffic incidents. Information provision, speed limits, and on-ramp metering are considered simultaneously in this approach. The main contribution of this research is the introduction of this approach, including the model and the algorithm. The authors also provide comparisons between the approach detailed here and some other approaches as an explanation of the effect for dispersing traffic queues and relieving traffic congestion.
Key concepts: Traffic congestion, Transport engineering, Queue, Traffic congestion reconstruction with Kerner's three-phase theory, Metering mode, Computer science, Queueing theory, Floating car data