The Impacts of Autonomous Vehicles on Parking Demand in Urban Areas

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Ghafarnezhad, Behdad | 2022

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 55283 (09)
University: Sharif University of Technology
Department: Civil Engineering
Advisor(s): Shafahi, Yousef
Abstract:
Autonomous vehicles will have a major impact on parking demands in urban areas in the future. Compared to conventional vehicles that should park near the destination of the passengers, autonomous vehicles can drop off the travelers at their destinations and then drive to the parking spaces by themselves. However, choosing a parking space in a far zone from the destination could lead to more travel demand in the network. We investigate traffic network equilibrium for traveling and parking with autonomous vehicles under a fully automated traffic environment. We introduce a Bi-level model, considering parking choices in the upper level and route choices in the lower level. The upper-level problem is a linear programming that can be solved by the simplex algorithm, and the route choices problem is a static traffic assignment problem, solved by the Takmili algorithm from Ashtiani. We develop and solve the model for the Shiraz traffic network and compare the results with current situation of the network that only conventional vehicles are available.
Keywords:
Autonomous Vehicles (AVs) ; Bi-level Model ; Traffic Assignment ; Linear Programming ; Takmili Algorithm ; Primal Simplex Algorithm ; Ashtiani Linearization Algorithm

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