Optimal traffic calming: A mixed-integer bi-level programming model for locating sidewalks and crosswalks in a multimodal transportation network to maximize pedestrians’ safety and network usability

•We study how to allocate resources for constructing sidewalks and crosswalks in order to calm traffic.•A mixed integer nonlinear programming model is presented for optimally locating sidewalks and crosswalks.•A customized greedy heuristic and a simulated annealing algorithm are developed for the pr...

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Bibliographic Details
Published in:Transportation research. Part E, Logistics and transportation review Vol. 91; pp. 33 - 50
Main Authors: Rashidi, Eghbal, Parsafard, Mohsen, Medal, Hugh, Li, Xiaopeng
Format: Journal Article
Language:English
Published: Exeter Elsevier India Pvt Ltd 01.07.2016
Elsevier Sequoia S.A
Subjects:
Algorithms
Cost engineering
Heuristic
Mathematical programming
Mixed-integer nonlinear programming
Multimodal transportation network
Network design
Pedestrians
Pedestrians’ safety
Public transportation
Studies
Traffic accidents & safety
Traffic calming
Traffic safety
Transportation
Transportation networks
Usability
User equilibrium
Walkways
Multimodal transportation network
User equilibrium
Network design
Pedestrians’ safety
Mixed-integer nonlinear programming
Traffic calming
ISSN:1366-5545, 1878-5794
Online Access:Get full text
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Summary:•We study how to allocate resources for constructing sidewalks and crosswalks in order to calm traffic.•A mixed integer nonlinear programming model is presented for optimally locating sidewalks and crosswalks.•A customized greedy heuristic and a simulated annealing algorithm are developed for the problem.•Sidewalks and crosswalks not only increase pedestrian safety but also reduce transportation cost. We study the effect that installing sidewalks and crosswalks, as traffic calming facilities, has on the safety and usability of a transportation network with automobile, public transit and walking as modes of transportation. A mathematical programming model is proposed for this problem whose objective is to minimize the safety hazard for pedestrians and the total transportation cost of the network. We utilize a customized greedy heuristic and a simulated annealing algorithm for solving the problem. The computational results indicate that installing sidewalks and crosswalks at proper locations can reduce the overall transportation cost and improve pedestrians’ safety.
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ISSN:1366-5545
1878-5794
DOI:10.1016/j.tre.2016.03.016