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  • 标题:A Citywide Location-Allocation Framework for Driver Feedback Signs: Optimizing Safety and Coverage of Vulnerable Road Users
  • 本地全文:下载
  • 作者:Mingjian Wu ; Tae J. Kwon ; Karim El-Basyouny
  • 期刊名称:Sustainability
  • 印刷版ISSN:2071-1050
  • 出版年度:2020
  • 卷号:12
  • 期号:24
  • 页码:10415
  • DOI:10.3390/su122410415
  • 语种:English
  • 出版社:MDPI, Open Access Journal
  • 摘要: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 (ΔiC/i) while enhancing spatial coverage for vulnerable road users and facilities (iCov/i). Two distinct planning scenarios, namely, an all-new and expansion scenario, were proposed in the framework. It was found that ΔiC/i and iCov/i 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 ΔiC/i can be improved by up to 30.22% and 51.61% for the additional 10 and 20 DFSs, respectively. Likewise, the iCov/i 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.
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