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Promet - Traffic&Transportation journal

Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

PUBLISHED
01.03.2015
LICENSE
Copyright (c) 2024 Wei Wu, Wanjing Ma, Kejun Long

Capacity Matching Based Model for Protected Left Turn Phases Design of Adjacent Signalized Intersections Along Arterial Roads

Authors:

Wei Wu
School of Traffic and Transportation, Changsha University of Science and Technology

Wanjing Ma

Kejun Long

Keywords:capacity gap, protected left turn phase, signal optimization, signalized arterial intersection,

Abstract

A protected left turn phase is often used at intersections with heavy left turns. This may induce a capacity gap between adjacent intersections along the arterial road among which only parts of intersection are with protected left turn phase. A model for integrated optimization of protected left turn phases for adjacent intersections along the arterial road is developed to solve this problem. Two objectives are considered: capacity gap minimization and capacity maximization. The problems are formulated as Binary-Integer-Linear-Programs, which are solvable by standard branch-and-bound routine. A set of constraints have been set up to ensure the feasibility of the resulting optimal left turn phase type and signal settings. A field intersections group of the Wei-er Road of Ji’nan city is used to test the proposed model. The results show that the method can decrease the capacity gap between adjacent intersections, reduce the delay as well as increase the capacity in comparison with the field signal plan and signal plan optimized by Synchro. The sensitivity analysis has further demonstrated the potential of the proposed approach to be applied in coordinated design of left turn phases between adjacent intersections along the arterial road under different traffic demand
patterns.

References

  1. Papageorgiou M, Diakaki C, Dinopoulou V, Kotsialos A, Wang Y. Review of road traffic control strategies. Proceedings of the IEEE. 2003 Dec; 91(12):2043-2067.

    Cai C, Wong C, Heydecker B. Adaptive traffic signal control using approximate dynamic programming. Transport Res C-emer. 2009 Oct;17(5):456-474.

    Royani T, Haddadnia J, Alipoor M. Traffic signal control for isolated intersections based on fuzzy neural network and genetic algorithm. Proceedings of the 10th WSEAS international conference on signal processing, computational geometry and artificial vision; 2010;87-91. Wisconsin, USA.

    Singh L, Tripathi S, Arora H. Time optimization for traffic signal control using genetic algorithm. International Journal of Recent Trends in Engineering. 2009 Feb; 2(2):4-6.

    Smith S, Venkatanarayana R, Park H. Development of new traffic control signal algorithms under intellidriveSM. IntelliDriveSM Pooled Fund Study Report – Task 2; 2010.

    Liu Y, Chang G. An Arterial Signal Optimization Model fo

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How to Cite
Wu, W. (et al.) 2015. Capacity Matching Based Model for Protected Left Turn Phases Design of Adjacent Signalized Intersections Along Arterial Roads. Traffic&Transportation Journal. 27, 1 (Mar. 2015), 13-21. DOI: https://doi.org/10.7307/ptt.v27i1.1392.

SPECIAL ISSUE IS OUT

Guest Editor: Eleonora Papadimitriou, PhD

Editors: Marko Matulin, PhD, Dario Babić, PhD, Marko Ševrović, PhD


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