A study on smart parking guidance algorithm

•The smart parking guidance algorithm which considers dynamic circumstances of parking facilities in a city.•The heuristic parking guidance algorithm based on dispatching rules.•The validation of the proposed algorithm is performed by the simulation tests.•The proposed algorithm can improve performa...

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Veröffentlicht in:	Transportation research. Part C, Emerging technologies Jg. 44; S. 299 - 317
Hauptverfasser:	Shin, Jong-Ho, Jun, Hong-Bae
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier India Pvt Ltd 01.07.2014
Schlagworte:	Algorithms Automobiles Automotive engineering City transportation management Energy consumption Parking Parking facility Parking guidance algorithm Searching Smart parking guidance Traffic engineering Traffic flow Parking facility Smart parking guidance City transportation management Parking guidance algorithm
ISSN:	0968-090X, 1879-2359
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Abstract	•The smart parking guidance algorithm which considers dynamic circumstances of parking facilities in a city.•The heuristic parking guidance algorithm based on dispatching rules.•The validation of the proposed algorithm is performed by the simulation tests.•The proposed algorithm can improve performance measures such as driving duration and time.•The proposed algorithm enables car drivers to find the most appropriate parking lot and reduce redundant time and energy. Parking problem becomes one of major issues in the city transportation management since the spatial resource of a city is limited and the parking cost is expensive. Lots of cars on the road should spend unnecessary time and consume energy during searching for parking due to limited parking space. To cope with these limitations and give more intelligent solutions to drivers in the selection of parking facility, this study proposes a smart parking guidance algorithm. The proposed algorithm supports drivers to find the most appropriate parking facility considering real-time status of parking facilities in a city. To suggest the most suitable parking facility, several factors such as driving distance to the guided parking facility, walking distance from the guided parking facility to destination, expected parking cost, and traffic congestion due to parking guidance, are considered in the proposed algorithm. To evaluate the effectiveness of the proposed algorithm, simulation tests have been carried out. The proposed algorithm helps to maximize the utilization of space resources of a city, and reduce unnecessary energy consumption and CO2 emission of wandering cars since it is designed to control the utilization of parking facility efficiently and reduce traffic congestion due to parking space search.
AbstractList	Parking problem becomes one of major issues in the city transportation management since the spatial resource of a city is limited and the parking cost is expensive. Lots of cars on the road should spend unnecessary time and consume energy during searching for parking due to limited parking space. To cope with these limitations and give more intelligent solutions to drivers in the selection of parking facility, this study proposes a smart parking guidance algorithm. The proposed algorithm supports drivers to find the most appropriate parking facility considering real-time status of parking facilities in a city. To suggest the most suitable parking facility, several factors such as driving distance to the guided parking facility, walking distance from the guided parking facility to destination, expected parking cost, and traffic congestion due to parking guidance, are considered in the proposed algorithm. To evaluate the effectiveness of the proposed algorithm, simulation tests have been carried out. The proposed algorithm helps to maximize the utilization of space resources of a city, and reduce unnecessary energy consumption and CO2 emission of wandering cars since it is designed to control the utilization of parking facility efficiently and reduce traffic congestion due to parking space search. •The smart parking guidance algorithm which considers dynamic circumstances of parking facilities in a city.•The heuristic parking guidance algorithm based on dispatching rules.•The validation of the proposed algorithm is performed by the simulation tests.•The proposed algorithm can improve performance measures such as driving duration and time.•The proposed algorithm enables car drivers to find the most appropriate parking lot and reduce redundant time and energy. Parking problem becomes one of major issues in the city transportation management since the spatial resource of a city is limited and the parking cost is expensive. Lots of cars on the road should spend unnecessary time and consume energy during searching for parking due to limited parking space. To cope with these limitations and give more intelligent solutions to drivers in the selection of parking facility, this study proposes a smart parking guidance algorithm. The proposed algorithm supports drivers to find the most appropriate parking facility considering real-time status of parking facilities in a city. To suggest the most suitable parking facility, several factors such as driving distance to the guided parking facility, walking distance from the guided parking facility to destination, expected parking cost, and traffic congestion due to parking guidance, are considered in the proposed algorithm. To evaluate the effectiveness of the proposed algorithm, simulation tests have been carried out. The proposed algorithm helps to maximize the utilization of space resources of a city, and reduce unnecessary energy consumption and CO2 emission of wandering cars since it is designed to control the utilization of parking facility efficiently and reduce traffic congestion due to parking space search.
Author	Jun, Hong-Bae Shin, Jong-Ho
Author_xml	– sequence: 1 givenname: Jong-Ho surname: Shin fullname: Shin, Jong-Ho email: shinjongho@unist.ac.kr organization: Dept. of Design and Human Engineering, UNIST, UNIST-gil 50, Ulsan 689-798, South Korea – sequence: 2 givenname: Hong-Bae surname: Jun fullname: Jun, Hong-Bae email: hongbae.jun@hongik.ac.kr organization: Dept. of Industrial Engineering, Hongik University, 72-1 Sangsu-dong, Mapo-gu, Seoul 121-791, South Korea
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Snippet	•The smart parking guidance algorithm which considers dynamic circumstances of parking facilities in a city.•The heuristic parking guidance algorithm based on... Parking problem becomes one of major issues in the city transportation management since the spatial resource of a city is limited and the parking cost is...
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SubjectTerms	Algorithms Automobiles Automotive engineering City transportation management Energy consumption Parking Parking facility Parking guidance algorithm Searching Smart parking guidance Traffic engineering Traffic flow
Title	A study on smart parking guidance algorithm
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