Evaluating lane reservation problems by carbon emission approach

被引:15
作者
Bai, Xue [1 ,2 ]
Zhou, Zhili [1 ]
Chin, Kwai-Sang [2 ]
Huang, Bin [3 ]
机构
[1] Xi An Jiao Tong Univ, Sch Management, 28 Youyi West Rd, Xian 710049, Shaanxi, Peoples R China
[2] City Univ Hong Kong, Dept Syst Engn & Engn Management, Tat Chee Ave, Kowloon, Hong Kong, Peoples R China
[3] Shenzhen Yiliu Technol Co Ltd, Shenzhen, Peoples R China
基金
中国国家自然科学基金;
关键词
Lane reservation problem; Carbon emission; Integer programming; Traffic state estimation; Trajectory data; VEHICLE; ALGORITHM; IMPACTS;
D O I
10.1016/j.trd.2017.04.002
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The lane reservation strategy is an efficient way for traffic control and management. Design of reserved lanes on existing network is called lane reservation problem. This paper examines the lane reservation problem from a new perspective of carbon emission in real urban transportation network, which incorporates the environmental impact and the traffic state of a city into design of reserved lanes. A carbon emission index is constructed to measure the impact of the reservation strategy. An integer linear programming model is used to improve the efficiency of special transports with the objective of minimizing the carbon emission index. Real urban traffic state is considered when the lane reservation strategy is implemented. The gird approximation method is developed to estimate the traffic state of a city using 30-day trajectory data of 14,000 vehicles in Shenzhen, China. Extensive computational analyses have been presented by several experiments based on real traffic data. The results indicate that lane reservation strategy can bring not only efficient transportation on reserved lanes, but also air pollution. The growth trend of the increased emissions becomes smooth after a sharp rise during the onset of the introduction of the reserved lane. With same improvement, fewer reserved lanes are required, but more emissions are produced under congested traffic than smooth traffic. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:178 / 192
页数:15
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