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Volumn , Issue , 2013, Pages

Empirical evaluation of Bluetooth and Wifi scanning for road transport

Author keywords

[No Author keywords available]

Indexed keywords

BLUETOOTH; CELLULAR TELEPHONE SYSTEMS; MEDIUM ACCESS CONTROL; NAVIGATION SYSTEMS; ROADS AND STREETS; SCANNING; SURVEYS; TRAFFIC CONTROL; TRAVEL TIME;

EID: 84916910690     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (32)

References (22)
  • 2
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    • Travel time forecasting and dynamic origin-destination estimation for freeways based on Bluetooth traffic monitoring
    • Barcelo, J. M. L. M. L. &. C. C., 2010. Travel Time Forecasting and Dynamic Origin-Destination Estimation for Freeways Based on Bluetooth Traffic Monitoring.. Transportation Research Record, pp. 19-27.
    • (2010) Transportation Research Record , pp. 19-27
    • Barcelo, J.M.1
  • 4
    • 79958760673 scopus 로고    scopus 로고
    • Fusing loop detector and probe vehicle data to estimate travel time statistics on signalized urban networks
    • Bhaskar, A., Chung, E. & Dumont, A. G., 2011. Fusing Loop Detector and Probe Vehicle Data to Estimate Travel Time Statistics on Signalized Urban Networks. Computer aided civil and infrastructure engineering, Issue 26, pp. 433-450.
    • (2011) Computer Aided Civil and Infrastructure Engineering , Issue.26 , pp. 433-450
    • Bhaskar, A.1    Chung, E.2    Dumont, A.G.3
  • 6
    • 84886799286 scopus 로고    scopus 로고
    • Fundamental understanding on the use of Bluetooth Mac scanner as a complementary transport data source
    • BHASKAR, A. and Chung, E., 2013 Fundamental understanding on the use of Bluetooth MAC Scanner as a complementary transport data source. Transport Research Part-C, under review.
    • (2013) Transport Research Part-C, under Review
    • Bhaskar, A.1    Chung, E.2
  • 7
    • 84916917431 scopus 로고    scopus 로고
    • Motorway travel time estimation: A hybrid model, considering increased detector spacing
    • 2 - 4 October 2013, Brisbane, Australia
    • BHASKAR, A., Ming Qu, and Chung E., 2013 Motorway Travel Time Estimation: A hybrid model, considering increased detector spacing. Australasian Transport Research Forum 2013 Proceedings 2 - 4 October 2013, Brisbane, Australia.
    • (2013) Australasian Transport Research Forum 2013 Proceedings
    • Ming, Q.1    Chung, E.2    Bhaskar, A.3
  • 8
    • 84916911263 scopus 로고    scopus 로고
    • Bus and car travel time on urban networks: Integrating Bluetooth and bus vehicle identification data
    • Perth, Australia
    • KIEU, L. M., BHASKAR, A. & CHUNG, E. 2012. Bus and car travel time on urban networks: Integrating Bluetooth and Bus Vehicle Identification Data. 25th Australian Road Research Board Conference. Perth, Australia.
    • (2012) 25th Australian Road Research Board Conference
    • Kieu, L.M.1    Bhaskar, A.2    Chung, E.3
  • 9
    • 84964595147 scopus 로고    scopus 로고
    • [Online] Available at:, [Accessed 30 March 2013]
    • Briedis, P. & Samuels, D. S., 2010. ARRB Group. [Online] Available at: http://www.arrb.com.au/admin/file/content13/c6/Briedis, %20Paul, %20Accuracy%20of%20inductive%20loop%20detectors%20(w).pdf [Accessed 30 March 2013].
    • (2010) ARRB Group
    • Briedis, P.1    Samuels, D.S.2
  • 11
    • 84916911260 scopus 로고    scopus 로고
    • USA
    • Cherchali, A. G. M. L. W. &. M. R., 2008. USA, Patent No. 11/003, 930.
    • (2008)
    • Cherchali, A.G.1
  • 12
    • 0345375534 scopus 로고    scopus 로고
    • Dynamic travel time prediction with real time and historical data
    • Chien, S. I. & Kuchipudi, C. M., 2003. Dynamic travel time prediction with real time and historical data. Jounral of Transport Engineering, Issue 129, pp. 608-616.
    • (2003) Jounral of Transport Engineering , Issue.129 , pp. 608-616
    • Chien, S.I.1    Kuchipudi, C.M.2
  • 14
    • 33745153428 scopus 로고    scopus 로고
    • Estimating dynamic roadway travel times using automatic vehicle identification data for low sampling rates
    • Dion, F. & Rakha, H., 2006. Estimating dynamic roadway travel times using automatic vehicle identification data for low sampling rates. Transportation Research Part B: Methodological, Issue 40, pp. 745-766.
    • (2006) Transportation Research Part B: Methodological , Issue.40 , pp. 745-766
    • Dion, F.1    Rakha, H.2
  • 18
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    • Online] Available at:, [Accessed 30 May 2013]
    • Microsoft, 2003. How 802.11 Wireless Works. [Online] Available at: http://technet.microsoft.com/en-us/library/cc757419(v=ws.10).aspx [Accessed 30 May 2013].
    • (2003) How 802.11 Wireless Works
  • 22
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    • A multistep corridor travel time prediction method using presence type vehicle detector data
    • Xia, J., Chen, M. & Huang, W., 2011. A multistep corridor travel time prediction method using presence type vehicle detector data. Journal of intelligent transportation systems, Issue 15, pp. 104-113.
    • (2011) Journal of Intelligent Transportation Systems , Issue.15 , pp. 104-113
    • Xia, J.1    Chen, M.2    Huang, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.