Loading...

Solving Congestion Pricing and Network Design Problem Simultaneously for Conventional and Automated Vehicles

Rajaei, Alireza | 2020

422 Viewed
  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 53130 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Zokaei Aashtiani, Hedayat
  7. Abstract:
  8. In this dissertation, transportation networks with two classes of vehicles, including conventional vehicles and autonomous vehicles, have been studied. Four problems, including traffic assignment problem with two classes, congestion pricing problem for conventional vehicles, network design problem for autonomous vehicles, and simultaneous congestion pricing and network design problem, have been modeled and algorithms to solve them are presented. In this study, a dynamic penalty function algorithm is used to solve the congestion pricing problem, and a heuristic algorithm is used to solve the network design problem. Besides, the two-class traffic assignment problem is solved using the complementary traffic assignment algorithm. Results are presented and analyzed for Hearn and South Florida networks. The results show that using both congestion pricing and network design policies improve network condition, but network design policy usually has a more effective performance in decreasing total network travel time. In Ye and Wang’s article, the time to solve four problems of two-class traffic assignment, congestion pricing, network design, and simultaneous congestion pricing and network design for Hearn network is reported about 5 minutes, while solving time in this study is less than 1 second. Also, the time spent for solving the four models of South Florida network is about 10 minutes
  9. Keywords:
  10. Autonomous Vehicles (AVs) ; Congestion Pricing ; Network Design ; Two-Class Traffic Assignment ; Dynamic Penalty Function

 Digital Object List

 Bookmark

No TOC