[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Contact us::
Site Facilities::
Search in website

Advanced Search
Receive site information
Enter your Email in the following box to receive the site news and information.
:: Volume 5, Issue 3 (12-2017) ::
jgit 2017, 5(3): 51-67 Back to browse issues page
Traffic Jams Detection based on the GPS Trajectories Extracted from Volunteered Geographic Information
Vahid Shokri , Rahim Ali Abbaspour *
University of Tehran
Abstract:   (4042 Views)
 Despite the benefits of fixed sensors to collect traffic data such as quality and accessibility, factors such as dependence on equipment, lack of full coverage, the high cost of data collection, management and analysis revealed the need to develop proper infrastructure. Increasing advances in volunteer geographic information (VGI) and location-aware technologies opens new dimension to collect and publish traffic data in high volume with lower costs. Therefore, developing a system to facilitate the collection, extraction, and dissemination of traffic information by utilizing VGI was considered, but given the extent of the issue, this paper focuses on providing strategies to extract traffic jam from GPS trajectories. First in pre-processing stage, trajectories are being cleaned and irrelevant data will be removed. Then ST-matching algorithm GPS trajectories match on road network are being used. After calculating the average speed between each two consecutive points, traffic jams were determined by comparing the free-flow speed and roads network speed. In order to test and evaluate the system, GPS trajectories which is collected voluntarily by taxis between 2nd to 8th of February 2008 in Beijing, is being used. For example, results of traffic jam in the period of 16-16: 20, indicates that most of the main roads and connecting links experiencing traffic jam and this is due to the transfer of traffic from the city center and working areas to residential areas. Results of this paper show that with the appropriate participation of users in producing VGI even with low penetration rate (8/3%) traffic jam could be determined in big cities with a road network about 72720 segments with lower cost and without need of special equipment with an appropriate accuracy.
Keywords: traffic data, volunteer geographic information (VGI), GPS trajectories, traffic jam
Full-Text [PDF 1617 kb]   (2093 Downloads)    
Type of Study: Research | Subject: GIS
Received: 2016/07/22 | Accepted: 2017/03/5 | Published: 2018/01/10
Send email to the article author

XML   Persian Abstract   Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Shokri V, Abbaspour R A. Traffic Jams Detection based on the GPS Trajectories Extracted from Volunteered Geographic Information. jgit 2017; 5 (3) :51-67
URL: http://jgit.kntu.ac.ir/article-1-516-en.html

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 5, Issue 3 (12-2017) Back to browse issues page
نشریه علمی-پژوهشی مهندسی فناوری اطلاعات مکانی Engineering Journal of Geospatial Information Technology
Persian site map - English site map - Created in 0.05 seconds with 36 queries by YEKTAWEB 4657