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Volumn 2528, Issue , 2015, Pages 27-37

Extended implementation method for virtual sensors: Web-based real-time transportation data collection and analysis for incident management

Author keywords

[No Author keywords available]

Indexed keywords

DATA ACQUISITION; INTELLIGENT SYSTEMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; SOCIAL NETWORKING (ONLINE); TRAFFIC CONTROL;

EID: 84976585379     PISSN: 03611981     EISSN: 21694052     Source Type: Journal    
DOI: 10.3141/2528-04     Document Type: Article
Times cited : (22)

References (32)
  • 1
    • 84938675045 scopus 로고    scopus 로고
    • Virtual sensors: A web-based real-time data collection methodology for transportation operation performance analysis
    • Transportation Research Board of the National Academies, Washington, D.C
    • Morgul, E. F., H. Yang, A. Kurkcu, K. Ozbay, B. Bartin, C. Kamga, and R. Salloum. Virtual Sensors: A Web-Based Real-Time Data Collection Methodology for Transportation Operation Performance Analysis. In Transportation Research Record: Journal of the Transportation Research Board, No. 2442, Transportation Research Board of the National Academies, Washington, D.C., 2014, pp. 106-116.
    • (2014) Transportation Research Record: Journal of the Transportation Research Board , vol.2442 , pp. 106-116
    • Morgul, E.F.1    Yang, H.2    Kurkcu, A.3    Ozbay, K.4    Bartin, B.5    Kamga, C.6    Salloum, R.7
  • 2
    • 84944534506 scopus 로고    scopus 로고
    • Twitter. Accessed May 21
    • Twitter. Twitter. https://dev.twitter.com/. Accessed May 21, 2014.
    • (2014) Twitter.
  • 3
    • 85172834564 scopus 로고    scopus 로고
    • Accessed May 18
    • New York State Department of Transportation. 511 Traffic, Travel and Transit Info. http://511ny.org/developer.aspx. Accessed May 18, 2014.
    • (2014) 511 Traffic, Travel and Transit Info.
  • 5
    • 77957944639 scopus 로고    scopus 로고
    • What is the role of multiple secondary incidents in traffic operations?
    • Zhang, H., and A. Khattak. What Is the Role of Multiple Secondary Incidents in Traffic Operations? Journal of Transportation Engineering, Vol. 136, No. 11, 2010, pp. 986-997.
    • (2010) Journal of Transportation Engineering , vol.136 , Issue.11 , pp. 986-997
    • Zhang, H.1    Khattak, A.2
  • 8
    • 84896292908 scopus 로고    scopus 로고
    • Mining the characteristics of secondary crashes on highways
    • Yang, H., B. Bartin, and K. Ozbay. Mining the Characteristics of Secondary Crashes on Highways. Journal of Transportation Engineering, Vol. 140, No. 4, 2013.
    • (2013) Journal of Transportation Engineering , vol.140 , Issue.4
    • Yang, H.1    Bartin, B.2    Ozbay, K.3
  • 10
    • 84875873260 scopus 로고    scopus 로고
    • Westland row why so slow? Fusing social media and linked data sources for understanding real-time traffic conditions
    • Daly, E. M., F. Lecue, and V. Bicer. Westland Row Why So Slow? Fusing Social Media and Linked Data Sources for Understanding Real-Time Traffic Conditions. Proc., 2013 International Conference on Intelligent User Interfaces, 2013, pp. 203-212.
    • (2013) Proc., 2013 International Conference on Intelligent User Interfaces , pp. 203-212
    • Daly, E.M.1    Lecue, F.2    Bicer, V.3
  • 11
    • 84893800494 scopus 로고    scopus 로고
    • I see a car crash: Real-time detection of small scale incidents in microblogs
    • Springer
    • Schulz, A., P. Ristoski, and H. Paulheim. I See a Car Crash: Real-Time Detection of Small Scale Incidents in Microblogs. In The Semantic Web: ESWC 2013 Satellite Events, Springer, 2013, pp. 22-33.
    • (2013) The Semantic Web: ESWC 2013 Satellite Events , pp. 22-33
    • Schulz, A.1    Ristoski, P.2    Paulheim, H.3
  • 17
    • 84899698768 scopus 로고    scopus 로고
    • Twitter interactions as a data source for transportation incidents
    • Presented at Washington, D.C
    • Mai, E., and R. Hranac. Twitter Interactions as a Data Source for Transportation Incidents. Presented at 92nd Annual Meeting of the Transportation Research Board, Washington, D.C., 2013.
    • (2013) 92nd Annual Meeting of the Transportation Research Board
    • Mai, E.1    Hranac, R.2
  • 22
    • 84891763145 scopus 로고    scopus 로고
    • Harvesting real time traffic information from twitter
    • Kosala, R., and E. Adi. Harvesting Real Time Traffic Information from Twitter. Procedia Engineering, Vol. 50, 2012, pp. 1-11.
    • (2012) Procedia Engineering , vol.50 , pp. 1-11
    • Kosala, R.1    Adi, E.2
  • 29
    • 85172857251 scopus 로고    scopus 로고
    • Google. Accessed July 23
    • Google. Google Maps. https://developers.google.com/. Accessed July 23, 2014.
    • (2014) Google Maps.
  • 30
    • 85172844428 scopus 로고    scopus 로고
    • Accessed July 23
    • Microsoft Corporation. Bing Maps. http://www.bing.com/dev/en-us/dev -center. Accessed July 23, 2014.
    • (2014) Bing Maps.
  • 31
    • 85172850756 scopus 로고    scopus 로고
    • Accessed July 23
    • MapQuest, Inc. MapQuest. http://developer.mapquest.com. Accessed July 23, 2014.
    • (2014) MapQuest.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.