Parking Search Optimization in Urban Area
نویسندگان
چکیده
منابع مشابه
Parking search equilibrium and its implications for parking management
Parking is an underappreciated issue in urban traffic modeling and control, and drivers searching for a parking space can contribute substantially to congestion. New technologies and algorithms aim to smooth the parking search process, using sensors for dynamic pricing, transmitting availability information to drivers, or to allow advance reservation of spaces. However, the parking search proce...
متن کاملFrom Modeling Parking Search to Establishing Parking Policy
The paper presents a conceptual view and explicit agent-based model of parking in a city. Driver-agents behave within a high-resolution GIS database of the street network and parking facilities. They drive towards their destination, search for parking, park for a given interval of time, and leave the network. During parking search, driver-agents estimate the availability of parking places, thei...
متن کاملPSOS, Parking Space Optimization Service
Amongst the wide range of parking solutions that can contribute to reduce parking problems or regulate parking activities, e Parking looks at developing and applying an innovative e-business application for parking space optimization. The purpose of this paper is to present the innovative e-business platform that has been deve loped, from a technical point of view, by the University of Zurich. ...
متن کاملModeling and optimization of multimodal urban networks with limited parking and dynamic pricing
Cruising-for-parking constraints mobility in urban networks. Car-users may have to cruise for on-street parking before reaching their destinations. The accessibility and the cost of parking significantly influence people’s travel behavior (such as mode choice, or parking facility choice between on-street and garage). The cruising flow causes delays eventually to everyone, even users with destin...
متن کاملProbabilistic Routing for On-Street Parking Search
An estimated 30 % of urban traffic is caused by search for parking spots [8]. Suggesting routes along highly probable parking spots could reduce traffic. In this paper, we formalize parking search as a probabilistic problem on a road graph and show that it is NP-complete. We explore heuristics that optimize for the driving duration and the walking distance to the destination. Routes are constra...
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ژورنال
عنوان ژورنال: International Journal of Simulation Modelling
سال: 2017
ISSN: 1726-4529
DOI: 10.2507/ijsimm16(2)1.361