A Citywide Location-Allocation Framework for Driver Feedback Signs: Optimizing Safety and Coverage of Vulnerable Road Users
Mingjian Wu,
Tae J. Kwon and
Karim El-Basyouny
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Mingjian Wu: Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 2W2, Canada
Tae J. Kwon: Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 2W2, Canada
Karim El-Basyouny: Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 2W2, Canada
Sustainability, 2020, vol. 12, issue 24, 1-20
Abstract:
Driver feedback signs (DFSs) are being adopted increasingly by municipalities around the world, as they have been proven to be a cost-effective countermeasure that improves road safety. However, research is still needed on developing a location-allocation framework to determine the optimal implementation strategies for DFS placement. Hence, the main aim of this paper is to formulate a location-allocation optimization problem with the objective of reducing vehicular collisions (Δ C ) while enhancing spatial coverage for vulnerable road users and facilities ( Cov ). Two distinct planning scenarios, namely, an all-new and expansion scenario, were proposed in the framework. It was found that Δ C and Cov can be improved by up to 149.44% and 69.27%, respectively, in the all-new scenario. Two expansion scenarios were done with 10 and 20 additional units into the system. It was found that Δ C can be improved by up to 30.22% and 51.61% for the additional 10 and 20 DFSs, respectively. Likewise, the Cov can be improved by up to 14.64% and 29.27%, respectively. This framework provides decision makers with the freedom to simulate and optimize their DFS network by balancing the needs of the road users, vulnerable facilities, and traffic safety in locating DFSs over an urban road network.
Keywords: driver feedback sign (DFS); location-allocation framework; implementation strategy; optimization; safety effectiveness; vulnerable road users/facilities (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)
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