arrow
Return

A study on smart parking guidance algorithm

delete2014-07-01
delete132
PRE
AI
J
Jong-Ho Shin
H
Hong-Bae Jun *
DOI:10.1016/j.trc.2014.04.010delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
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. (C) 2014 Elsevier Ltd. All rights reserved.
Keywords:
Smart parking guidance
Parking guidance algorithm
City transportation management
Parking facility
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Transportation Research Part C-Emerging Technologies cover
Transportation Research Part C-Emerging Technologies
IF:
7.9
Papers:
4.7K
Citations:
3.2W

Organization

No organization information available
Cited Papers

Cited Papers

errShare
errSave
The Value of Time: Evidence from Auctioned Cab Rides
err2020-01-01
err0
PREAI
errNicholas Buchholz; Laura Doval; Jakub Kastl; Filip Matějka; Tobias Salz
errShare
errSave
Intelligent parking systems
err2006-12-01
err164
PREAI
errTeodorovic, Dusan; Lucic, Panta
errShare
errSave
The expression of depression among Javanese patients with major depressive disorder: A concept mapping study
err2013-09-18
err0
PREAI
errE. Sharon Brintnell; Ryan W. Sommer; Bambang Kuncoro; G. Pandu Setiawan; Patricia Bailey
errShare
errSave
Fabrication and characterization of coated Hastelloy C-276 Alloy by SDP technology
err2020-01-27
err0
errOAAI
errJia-Cheng Wen; Yi Wang; Shan-Peng Hao; Bei-Bei Feng; Kausar Shaheen; Hong-Li Suo
errShare
errSave
researcher View more