A hybrid modeling approach for parking assignment in urban areas

Finding a parking space is a daunting task that frustrates drivers, affects the economic efficiency of carriers and impacts city sustainability. Between meeting the needs of deliverers (location, accessibility, proximity...) and individuals (price, duration, closeness...), transport and urban traffic planners find themselves in a conflict of interest. Hence the importance of a tool that manages the entire urban parking system in real time. This paper presents, in this perspective, a solution that allocates parking spaces to carriers and individuals under uncertain conditions. Its principle is founded on two allocation levels. The first distributes parking requests on the city areas by considering three characteristic indicators. The second ranks, for each driver, the available spaces in the designated area according to their decreasing non-dominated degree. It additionally includes a conflict management approach for dealing with the assignment of multiple drivers to the same place. It is deployed and its performance is tested by administering parking in a city with four urban areas. (C) 2020 The Authors. Published by Elsevier B.V. on behalf of King Saud University.