Parking design and pricing for regular and autonomous vehicles: a morning commute problem
Mehdi Nourinejad, Mahyar Amirgholy
Abstract
Autonomous vehicles can profoundly change parking behaviour in the future. Instead of searching for parking, the occupants alight at their final destination and send their occupant-free cars to a parking spot. This paper studies the impact of parking in a morning commute problem with autonomous and regular vehicles. We simplify the complex problem with distinct cost functions to a classic bi-class problem that can be analytically solved. To optimize the system, we develop temporal and spatial parking pricing strategies and a new parking supply design scheme, as practical alternatives for the conventional dynamic congestion pricing.
Topics & Concepts
Parking guidance and informationComputer scienceScheme (mathematics)Transport engineeringOperations researchTraffic congestionClass (philosophy)Mathematical optimizationEngineeringMathematicsArtificial intelligenceMathematical analysisSmart Parking Systems ResearchTransportation and Mobility InnovationsTraffic control and management