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Service Data Analyze for the Available Parking Spaces in Different Car parks and Their Forecast Problem

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Sun JianAuthors Info & Claims

ICMSS '17: Proceedings of the 2017 International Conference on Management Engineering, Software Engineering and Service Sciences

Pages 85 - 89

https://doi.org/10.1145/3034950.3035006

Published: 14 January 2017 Publication History

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Abstract

In order to save people's travel time in searching parking spaces, this paper firstly analyzes the changes data of available parking spaces in five parking lots with different capacities, which are located in Xi'an, China. Then this paper uses two methods to predict the data of available parking spaces. The results show that: (1) Available parking spaces in the urban parking lots are fluctuating according the survey data, parking spaces with large capacity of the parking lot will have a larger data fluctuation range, and parking saturation of parking lot will also be affected by the parking lot size and location. (2) Back propagation (BP) neural network model can be used to predict the available parking space of parking lots, no matter the capacity and different geographical location of those carparks is different. Moreover, a model of combination of genetic algorithm (GA) and BP neural network is more reliable than a simple BP neural network model according the results of data contrast are used.

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Eggert MKling R(2023)How to Distribute Charging Requests of Electronic Vehicles? A Reservation-based ApproachInternational Journal of Intelligent Transportation Systems Research10.1007/s13177-023-00367-z21:3(437-460)Online publication date: 27-Sep-2023
https://doi.org/10.1007/s13177-023-00367-z
Shao WZhao SZhang ZWang SRahaman MSong ASalim F(2021)FADACS: A Few-Shot Adversarial Domain Adaptation Architecture for Context-Aware Parking Availability Sensing2021 IEEE International Conference on Pervasive Computing and Communications (PerCom)10.1109/PERCOM50583.2021.9439123(1-10)Online publication date: 22-Mar-2021
https://doi.org/10.1109/PERCOM50583.2021.9439123
Balmer MWeibel RHuang H(2021)Value of incorporating geospatial information into the prediction of on-street parking occupancy – A case studyGeo-spatial Information Science10.1080/10095020.2021.1937337(1-20)Online publication date: 15-Jul-2021
https://doi.org/10.1080/10095020.2021.1937337
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ICMSS '17: Proceedings of the 2017 International Conference on Management Engineering, Software Engineering and Service Sciences

January 2017

339 pages

ISBN:9781450348348

DOI:10.1145/3034950

Editor:
Yulin Wang

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Wuhan Univ.: Wuhan University, China

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Published: 14 January 2017

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ICMSS '17: 2017 International Conference on Management Engineering, Software Engineering and Service Sciences

January 14 - 16, 2017

Wuhan, China

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Eggert MKling R(2023)How to Distribute Charging Requests of Electronic Vehicles? A Reservation-based ApproachInternational Journal of Intelligent Transportation Systems Research10.1007/s13177-023-00367-z21:3(437-460)Online publication date: 27-Sep-2023
https://doi.org/10.1007/s13177-023-00367-z
Shao WZhao SZhang ZWang SRahaman MSong ASalim F(2021)FADACS: A Few-Shot Adversarial Domain Adaptation Architecture for Context-Aware Parking Availability Sensing2021 IEEE International Conference on Pervasive Computing and Communications (PerCom)10.1109/PERCOM50583.2021.9439123(1-10)Online publication date: 22-Mar-2021
https://doi.org/10.1109/PERCOM50583.2021.9439123
Balmer MWeibel RHuang H(2021)Value of incorporating geospatial information into the prediction of on-street parking occupancy – A case studyGeo-spatial Information Science10.1080/10095020.2021.1937337(1-20)Online publication date: 15-Jul-2021
https://doi.org/10.1080/10095020.2021.1937337
Ali GAli TIrfan MDraz USohail MGlowacz ASulowicz MMielnik RFaheem ZMartis C(2020)IoT Based Smart Parking System Using Deep Long Short Memory NetworkElectronics10.3390/electronics91016969:10(1696)Online publication date: 15-Oct-2020
https://doi.org/10.3390/electronics9101696
Shao WZhang YGuo BQin KChan JSalim F(2019)Parking Availability Prediction with Long Short Term Memory ModelGreen, Pervasive, and Cloud Computing10.1007/978-3-030-15093-8_9(124-137)Online publication date: 15-Mar-2019
https://doi.org/10.1007/978-3-030-15093-8_9
Xiao SYu HWu YPeng ZZhang Y(2018)Self-Evolving Trading Strategy Integrating Internet of Things and Big DataIEEE Internet of Things Journal10.1109/JIOT.2017.27649575:4(2518-2525)Online publication date: Aug-2018
https://doi.org/10.1109/JIOT.2017.2764957

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Intelligent Parking System for Car Parking Guidance and Damage Notification

Wireless Mobile-Based Shopping Mall Car Parking System (WMCPS)

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