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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| Published in: | Transportation research. Part E, Logistics and transportation review Vol. 91; pp. 33 - 50 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
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Exeter
Elsevier India Pvt Ltd
01.07.2016
Elsevier Sequoia S.A |
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| ISSN: | 1366-5545, 1878-5794 |
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| Abstract | •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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| AbstractList | •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. 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. |
| Author | Rashidi, Eghbal Li, Xiaopeng Parsafard, Mohsen Medal, Hugh |
| Author_xml | – sequence: 1 givenname: Eghbal surname: Rashidi fullname: Rashidi, Eghbal email: er442@msstate.edu organization: Department of Industrial and Systems Engineering, Mississippi State University, Mississippi State, MS, USA – sequence: 2 givenname: Mohsen surname: Parsafard fullname: Parsafard, Mohsen organization: Department of Civil and Environmental Engineering, University of South Florida, FL, USA – sequence: 3 givenname: Hugh surname: Medal fullname: Medal, Hugh organization: Department of Industrial and Systems Engineering, Mississippi State University, Mississippi State, MS, USA – sequence: 4 givenname: Xiaopeng orcidid: 0000-0002-5264-3775 surname: Li fullname: Li, Xiaopeng organization: Department of Civil and Environmental Engineering, University of South Florida, FL, USA |
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| Keywords | Multimodal transportation network User equilibrium Network design Pedestrians’ safety Mixed-integer nonlinear programming Traffic calming |
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| SubjectTerms | 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 |
| Title | 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 |
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