Cited By
View all- Brožová HRůžička M(2020)THE PREDICTION OF PARKING SPACE AVAILABILITYTransport10.3846/transport.2020.1401635:5(462-473)Online publication date: 11-Dec-2020
Parking Data Collection, Storage and Mining in Smart City
Pages 95 - 99
Abstract
With the continuous and fast development of urbanization, traffic congestion has become a major problem in cities. However, new technologies provide us opportunity to tackle the problem in an efficient way. As people know, intelligent traffic is an important part of a Smart City. Besides, intelligent parking is an essential part of Intelligent Transportation. Internet of Things (IoT) provides to everyone new types of services in order to improve everyday life. As a result, an increasing number of parking management and data acquisition systems were developed by IoT technology. This paper aims to introduce a new system through which data acquisition and storage of parking information could fully automatically take part. To analyzing parking information, in this paper, a new traffic model is proposed to forecast the status of urban traffic in order to improve the efficiency of urban transportation. This system is expected to benefit drivers and the government and to improve urban environment simultaneously.
References
[1]
Kim T, Kim S H, Yang J, et al. Neighbor Table Based Shortcut Tree Routing in ZigBee Wireless Networks. IEEE Transactions on Parallel & Distributed Systems, 2014, 25(3):706--716.
[2]
Schwartz P J, Spazzolini C, Crotti L. Shortcut Anycast Tree Routing in MANETs. Heart Rhythm the Official Journal of the Heart Rhythm Society, 2012, 11(1):635--640.
[3]
Wadhwa L K, Deshpande R S, Priye V. Extended shortcut tree routing for ZigBee based wireless sensor network. Ad Hoc Networks, 2016, 37(P2):295--300.
[4]
Yang C F, Ju Y H, Hsieh C Y, et al. iParking -- a real-time parking space monitoring and guiding system. Vehicular Communications, 2017, 9.
[5]
Liang Zhang, Pei Mu, Jong-won Kim. Implement of extended shortcut tree routing for ZigBee-based car park wireless sensor management system. Conference: 2017 4th International Conference on Systems and Informatics (ICSAI), November 2017.
[6]
Xiao Chen, Zhen (Sean) Qian, Ram Rajagopal, et al. Parking Sensing and Information System: Sensors, Deployment, and Evaluation. arXiv:1712.02741.
[7]
JH Shin, HB Jun. A study on smart parking guidance algorithm. Transportation Research Part C, 44(4), 299--317.
[8]
Yanjie Ji, Dounan Tang, Phil Blythe, Weihong Guo, Wei Wang. Short-term forecasting of available parking space using wavelet neural network model. Intelligent Transport Systems Iet, 9(2), 202--209.
[9]
Caicedo F. The use of space availability information in "PARC" systems to reduce search times in parking facilities. Transp. Res. C, Emerg. Technol. 2009, 17, pp. 60--68.
[10]
Yang, X. F., Qiang, F. U., Niu, Z. Y., & School, B. (2014). Bi-level objective model of optimal parking lot recommendation based on parking guidance signs. Application Research of Computers, 2014, 31(10):3017--3019.
[11]
A Klappenecker, H Lee, JL Welch. Finding available parking spaces made easy. Ad hoc Networks, 2014, 12(1):243--249.
[12]
FU Jiabin, CHEN, Zhenxiang, Runyuan, Yang. Reservation Based Optimal Parking Lot Recommendation Model in Internet of Vehicle Environment. China Communications, 2014, 11(10):38--48.
[13]
Gao Guangyin, DING Yong, JIANG Feng, Li Cong. Prediction of Parking Guidance Space Based on BP Neural Networks. Application of Computer System, 2017, 26(1):236--239.
Recommendations
Smart city data analysis
DATA '18: Proceedings of the First International Conference on Data Science, E-learning and Information SystemsSmart City is one of the vital issues in the next coming years as it is estimated that more number of people will be migrating towards city and by 2040 cities is populated by 70% of the world's population. This will give raise to the city management ...
Data security of smart cities
SCA '18: Proceedings of the 3rd International Conference on Smart City ApplicationsThe smart city is a new concept of urban development. It is about improving the life quality of city dwellers by making the city more adaptive and efficient, using new technologies that rely on an ecosystem of objects and services. The scope covering ...
The role of big data in smart city
We provide a vision of big data analytics to support smart cities.We proposed future business model with the aim of managing big data for smart city.We identify and discuss business and technological research challenges.We provide a description of ...
Comments
Information & Contributors
Information
Published In
October 2018
221 pages
ISBN:9781450364768
DOI:10.1145/3291801
Copyright © 2018 ACM.
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]
In-Cooperation
- Shandong Univ.: Shandong University
- University of Queensland: University of Queensland
- Dalian Maritime University
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 27 October 2018
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
ICBDR 2018
ICBDR 2018: 2018 The 2nd International Conference on Big Data Research
October 27 - 29, 2018
Weihai, China
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 172Total Downloads
- Downloads (Last 12 months)11
- Downloads (Last 6 weeks)1
Reflects downloads up to 10 Sep 2024
Other Metrics
Citations
Cited By
View all- Brožová HRůžička M(2020)THE PREDICTION OF PARKING SPACE AVAILABILITYTransport10.3846/transport.2020.1401635:5(462-473)Online publication date: 11-Dec-2020
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in