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Title: Robust Optimization of Checkpoint Locations for Drunk Driver Interception
Accession Number: 01371506
Record Type: Component
Abstract: This paper focuses on planning driving under the influence (DUI) checkpoint locations in a general transportation network to maximize the benefits from reducing public exposure to drunk drivers. A robust optimization model is proposed to address uncertainties associated with link traffic volumes and the likelihood of having a drunk driver on a particular network link. The consequent mathematical model has a bi-level program structure and a non-convex inner problem. The authors propose a number of solution approaches, including alternating ascent algorithm, convex relaxation and duality techniques and commercial solvers for the inner problem, and greedy and fast interchange algorithms for the outer problem. A set of numerical experiments are conducted to illustrate the computational efficiency and solution quality of the proposed algorithms.
Supplemental Notes: This paper was sponsored by TRB committee ADB30 Transportation Network Modeling
Monograph Title: Monograph Accession #: 01362476
Report/Paper Numbers: 12-1949
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: An, ShiCui, JianxunWang, JianPeng, FanOuyang, YanfengPagination: 16p
Publication Date: 2012
Conference:
Transportation Research Board 91st Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Uncontrolled Terms: Subject Areas: Highways; Planning and Forecasting; Safety and Human Factors; I72: Traffic and Transport Planning; I83: Accidents and the Human Factor
Source Data: Transportation Research Board Annual Meeting 2012 Paper #12-1949
Files: TRIS, TRB
Created Date: Feb 8 2012 5:06PM
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