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Increasing the Capacity of the Intersection Downstream of the Freeway Off‐Ramp Using Presignals
Author(s) -
Zhao Jing,
Ma Wanjing,
Xu Haijun
Publication year - 2017
Publication title -
computer‐aided civil and infrastructure engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.773
H-Index - 82
eISSN - 1467-8667
pISSN - 1093-9687
DOI - 10.1111/mice.12281
Subject(s) - weaving , intersection (aeronautics) , downstream (manufacturing) , sorting , queueing theory , upstream (networking) , computer science , transport engineering , nonlinear system , traffic volume , traffic flow (computer networking) , simulation , mathematical optimization , engineering , algorithm , telecommunications , computer network , mathematics , mechanical engineering , physics , quantum mechanics , operations management
High volume from urban freeway off‐ramps coupled with extensive traffic weaving and limited capacity at downstream intersections create major bottlenecks in urban road networks. This article presents an integrated design model to eliminate traffic weaving and to maximize the section's overall capacity by using the presignal and sorting area concept. The selection of movements controlled by the presignal, the layout of the section, and the signal timing are optimized in a uniform framework by a mixed‐integer nonlinear program model. The mathematical model was linearized and solved using the standard branch‐and‐bound technique. Extensive numerical analysis and a case study validate the effectiveness of the proposed integrated model in improving capacity with the comparison of conventional design under various geometric configuration and traffic demand pattern scenarios. The proposed model has promising application at locations where the queuing space is long enough and the number of exit lanes is enough to receive the traffic stream from the sorting area.