Technical Papers
Nov 11, 2016

Optimal Design of Midblock Crosswalk to Achieve Trade-Off between Vehicles and Pedestrians

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 143, Issue 1

Abstract

Midblock crosswalks are installed mainly at locations with heavy pedestrian traffic to increase the accessibility of points along the streets to pedestrians. However, midblock crosswalks may cause additional delays for vehicles. This paper presents an integrated design method for midblock crosswalks that balances the trade-off between the efficiency of vehicle operation and pedestrian crossing by making full use of the vehicular red time at the downstream intersection. The method combines location selection and signal timing in a unified optimization model that is formulated as a multiobjective linear programming problem. The Pareto frontier of the proposed model is obtained by iterating all possible combinations of the weights of the two objectives. For each combination of weights, the optimization problem becomes a single-objective mixed-integer linear programming problem that can be solved with the standard branch-and-bound technique. The results of extensive numerical analyses and case studies demonstrate the effectiveness of the proposed model and indicate its promising application in providing additional crosswalks for pedestrians while only slightly impacting vehicular operations.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China under Grant 51608324, and the Project of Young Researcher Training for Shanghai Colleges and Universities No. ZZsl15015.

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Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 143Issue 1January 2017

History

Received: Oct 6, 2015
Accepted: Sep 2, 2016
Published online: Nov 11, 2016
Published in print: Jan 1, 2017
Discussion open until: Apr 11, 2017

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Authors

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Jing Zhao, Ph.D. [email protected]
Assistant Professor, Dept. of Traffic Engineering, Univ. of Shanghai for Science and Technology, 516 Jungong Rd., Shanghai 200093, P.R. China. E-mail: [email protected]
Wanjing Ma, Ph.D. [email protected]
Professor, Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji Univ., 4800 Cao’an Rd., Shanghai 201804, P.R. China (corresponding author). E-mail: [email protected]
Peng Li, Ph.D. [email protected]
Supply Chain Analytics Laboratory, Dept. of Supply Chain Management, Rutgers Univ., State Univ. of New Jersey, Newark, NJ 08904. E-mail: [email protected]

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