Evaluating lane reservation problems by carbon emission approach
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 178-192 |
Journal / Publication | Transportation Research Part D: Transport and Environment |
Volume | 53 |
Publication status | Published - 1 Jun 2017 |
Link(s)
Abstract
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.
Research Area(s)
- Carbon emission, Integer programming, Lane reservation problem, Traffic state estimation, Trajectory data
Citation Format(s)
Evaluating lane reservation problems by carbon emission approach. / Bai, Xue; Zhou, Zhili; Chin, Kwai-Sang et al.
In: Transportation Research Part D: Transport and Environment, Vol. 53, 01.06.2017, p. 178-192.
In: Transportation Research Part D: Transport and Environment, Vol. 53, 01.06.2017, p. 178-192.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review