Temporary Reversible Lane Design Based on Bi-Level Programming Model during the Winter Olympic Games

Weiqi Hong, Zishu Yang, Xu Sun, Jianyu Wang and Pengpeng Jiao
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Weiqi Hong: Beijing Laboratory of General Aviation Technology, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
Zishu Yang: Beijing General Municipal Engineering Design & Research Institute Co., Ltd., Beijing 100082, China
Xu Sun: Beijing Laboratory of General Aviation Technology, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
Jianyu Wang: Beijing Laboratory of General Aviation Technology, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
Pengpeng Jiao: Beijing Laboratory of General Aviation Technology, Beijing University of Civil Engineering and Architecture, Beijing 100044, China

Sustainability, 2022, vol. 14, issue 8, 1-17

Abstract: When the Winter Olympic Games were held, several roads were divided into exclusive lanes for the Winter Olympics to ensure the smooth passage of Winter Olympic vehicles. This reduced the number of lanes available for private vehicles, which caused a temporary tidal traffic phenomenon that led to traffic congestion and increased exhaust emissions. Temporary reversible lanes were added to the object lane to alleviate the temporary tide traffic phenomenon. A bi-level programming model was developed based on the principle of the minimum construction cost and the minimum total travel time of the road network. Meanwhile, three heuristics algorithms were used to solve the problem. The results show that the reasonable addition of temporary reversible lanes during the Olympic Games can reduce the total system travel cost, solve the temporary tidal traffic phenomenon, and alleviate traffic congestion.

Keywords: sustainable transport planning; the Winter Olympic Games; reversible lane; bi-level programming model; algorithm; traffic congestion (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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