Latest revision as of 10:15, 15 February 2021

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.

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The different versions of the original document can be found in:

• http://downloads.hindawi.com/journals/jat/2018/3435720.pdf under the license https://creativecommons.org/licenses/by

• http://dx.doi.org/10.1155/2018/3435720 under the license cc-by

• http://downloads.hindawi.com/journals/jat/2018/3435720.pdf,

http://downloads.hindawi.com/journals/jat/2018/3435720.xml,

http://dx.doi.org/10.1155/2018/3435720 under the license http://creativecommons.org/licenses/by/4.0

• http://dx.doi.org/10.1155/2018/3435720,

https://doaj.org/toc/0197-6729,

https://doaj.org/toc/2042-3195 under the license http://creativecommons.org/licenses/by/4.0/

• https://www.hindawi.com/journals/jat/2018/3435720,

http://downloads.hindawi.com/journals/jat/2018/3435720.pdf,

https://academic.microsoft.com/#/detail/2810710152