Please use this identifier to cite or link to this item:
Title: Optimal Design of Transportation Networks with Automated Vehicle Links and Congestion Pricing
Authors: Ye Y.
Wang H. 
Issue Date: 2018
Publisher: Hindawi Limited
Citation: Ye Y., Wang H. (2018). Optimal Design of Transportation Networks with Automated Vehicle Links and Congestion Pricing. Journal of Advanced Transportation 2018 : 3435720. ScholarBank@NUS Repository.
Abstract: We propose a bi-level network design model comprising automated vehicle (AV) links and congestion pricing to improve traffic congestion. As upper-level road planners strive to minimize total travel-time costs by optimizing both the network design and the congestion pricing, lower-level travelers make choices about their routes to minimize their individual travel costs. Our proposed model integrates a network design and congestion pricing to improve traffic congestion and we use a relaxation-based method to solve the model. We conducted a series of numerical tests to analyze the proposed model and solution method. Our results indicate that network design is more effective than congestion pricing when the AV market penetration is high and the opposite is true when AV penetration is low. More importantly, we find that a network design of automated vehicle links with congestion pricing is superior to a single network design or congestion pricing, especially when both AVs and conventional vehicles have a relatively large market penetration. ? 2018 Yipeng Ye and Hua Wang.
Source Title: Journal of Advanced Transportation
ISSN: 1976729
DOI: 10.1155/2018/3435720
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
3435720.pdf1.64 MBAdobe PDF



Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.