A GA-based Mesoscopic Simulation Approach for Optimal Freeway Snow Removal Strategy Considering Traffic Congestion

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概要

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• This study proposes a GA-based approach to find the optimal strategy that minimize the overall traffic network costs in case of road closure due to heavy snowfall. A mesoscopic simulation model is adopted to evaluate the system performance in the course of GA implementation. The proposed model is applied to both a simple test network and a real-world freeway network to analyze its performance and practicability. Analysis results suggest that the proposed approach consistently yields near-optimal solutions. They also indicate that the GA-based solution performs much better that the current practice used for determining the snow removal sequence.

著者

• Yu Jeong

  Division Of Environmental And Urban Eng. Ajou University

• BAIK Yunji

  Division of Environmental, Civil, and Transportation Ajou University

関連論文

• A GA-based Mesoscopic Simulation Approach for Optimal Freeway Snow Removal Strategy Considering Traffic Congestion
• A COMBINED APPROACH TO DETERMINE THE LOCATION AND TIME OF FREEWAY CRASHES USING LOOP DETECTORS

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