Agent-Based Modelling and Simulation to Assess the Impact of Parking Reservation System
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 spac...
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2017/2576094 |
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| _version_ | 1849467767176036352 |
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| author | Xun-You Ni Daniel (Jian) Sun |
| author_facet | Xun-You Ni Daniel (Jian) Sun |
| author_sort | Xun-You Ni |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-e608f986c5434d8a8d169d5f08200653 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-e608f986c5434d8a8d169d5f082006532025-08-20T03:26:04ZengWileyJournal of Advanced Transportation0197-67292042-31952017-01-01201710.1155/2017/25760942576094Agent-Based Modelling and Simulation to Assess the Impact of Parking Reservation SystemXun-You Ni0Daniel (Jian) Sun1State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, ChinaState Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, ChinaWith 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.http://dx.doi.org/10.1155/2017/2576094 |
| spellingShingle | Xun-You Ni Daniel (Jian) Sun Agent-Based Modelling and Simulation to Assess the Impact of Parking Reservation System Journal of Advanced Transportation |
| title | Agent-Based Modelling and Simulation to Assess the Impact of Parking Reservation System |
| title_full | Agent-Based Modelling and Simulation to Assess the Impact of Parking Reservation System |
| title_fullStr | Agent-Based Modelling and Simulation to Assess the Impact of Parking Reservation System |
| title_full_unstemmed | Agent-Based Modelling and Simulation to Assess the Impact of Parking Reservation System |
| title_short | Agent-Based Modelling and Simulation to Assess the Impact of Parking Reservation System |
| title_sort | agent based modelling and simulation to assess the impact of parking reservation system |
| url | http://dx.doi.org/10.1155/2017/2576094 |
| work_keys_str_mv | AT xunyouni agentbasedmodellingandsimulationtoassesstheimpactofparkingreservationsystem AT danieljiansun agentbasedmodellingandsimulationtoassesstheimpactofparkingreservationsystem |