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Journal of Advanced Transportation
Volume 2017, Article ID 2576094, 10 pages
https://doi.org/10.1155/2017/2576094
Research Article

Agent-Based Modelling and Simulation to Assess the Impact of Parking Reservation System

1State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
2China Institute of Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China
3Center for ITS and UAV Applications Research, School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Correspondence should be addressed to Daniel (Jian) Sun; nc.ude.utjs@nusleinad

Received 16 March 2017; Revised 17 May 2017; Accepted 31 May 2017; Published 5 July 2017

Academic Editor: Zhi-Chun Li

Copyright © 2017 Xun-You Ni and Daniel (Jian) Sun. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

With the increasing popularity of smart phones, Parking Reservation System (PRS) becomes practical to reduce the travel time in cruising for vacant spaces. The aim of this study is to assess the impact of PRS explicitly. This paper was started with analyzing the processes of cruising for vacant spaces and making parking reservation decisions. The vehicles were divided into two categories: the intelligent vehicles and the regular ones. Only the intelligent vehicles have the ability to make a parking reservation beforehand, while the regular ones have to cruise for vacant spaces. All involved components were treated as different agents, including vehicles, parking lots, network, and management center. Based on this, agent-based simulation was introduced to evaluate the performances of the scenarios with different penetration rates. The simulation results indicate the average travel time increases with the improvement of the penetration rates for the regular vehicles. The assessment method presented in this study would assist in promoting the performances of PRS in urban areas.