메뉴 건너뛰기




Volumn 4, Issue 4, 2010, Pages 328-337

Accelerated incident detection across transportation networks using vehicle kinetics and support vector machine in cooperation with infrastructure agents

Author keywords

[No Author keywords available]

Indexed keywords

BALTIMORE; DETECTION PERFORMANCE; IN-VEHICLE; INCIDENT DETECTION; INCIDENT DETECTION SYSTEMS; INTELLIDRIVE; INTELLIGENT MODULES; LANE CHANGING; MARYLAND; PRE-SELECTED; SIMULATION NETWORK; SOUTH CAROLINA; SPEED PROFILE; TRANSPORTATION NETWORK; URBAN FREEWAYS;

EID: 78751564318     PISSN: 1751956X     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-its.2010.0035     Document Type: Conference Paper
Times cited : (16)

References (41)
  • 1
    • 78751540206 scopus 로고    scopus 로고
    • USDOT ITS Joint Program Office, Available at accessed 21 January 2009
    • USDOT ITS Joint Program Office, Available at http://www.its.dot.gov/ intellidrive/index.htm, accessed 21 January 2009
  • 5
    • 78751550872 scopus 로고    scopus 로고
    • ITS America accessed 11 July 2007
    • ITS America: 'Primer on VII', http://www.itsa.org/itsa/files/pdf/ VIIPrimer.pdf, accessed 11 July 2007
    • Primer on VII
  • 6
    • 72649094387 scopus 로고    scopus 로고
    • VII California demonstrates success: Finalist in ITSA 'Best of" research and innovation
    • University of California, Berkeley
    • 'VII California demonstrates success: finalist in ITSA 'Best of" research and innovation ', Intellimotion, 2006, 12, (1), p. 5, University of California, Berkeley
    • (2006) Intellimotion , vol.12 , Issue.1 , pp. 5
  • 8
    • 34247880490 scopus 로고    scopus 로고
    • Vehicle infrastructure integration: More than a very intriguing idea
    • Wayne, T., and Gary, P.: 'Vehicle infrastructure integration: more than a very intriguing idea ', ITE J., 2007, 77, (4), p. 29-32
    • (2007) ITE J. , vol.77 , Issue.4 , pp. 29-32
    • Wayne, T.1    Gary, P.2
  • 10
    • 0030123547 scopus 로고    scopus 로고
    • Use of vehicle positioning data for arterial incident detection
    • Sermons, W., and Koppelman, F.: 'Use of vehicle positioning data for arterial incident detection ', Transp. Res. C, 1996, 4, (2), p. 87-96
    • (1996) Transp. Res. C , vol.4 , Issue.2 , pp. 87-96
    • Sermons, W.1    Koppelman, F.2
  • 12
    • 78751558656 scopus 로고    scopus 로고
    • Using dedicated short-range communication (DSRC) technology for freeway incident detection: A performance assessment based on traffic simulation data
    • Washington, DC
    • Crabtree, J.D., and Stamatiadis, N.: 'Using dedicated short-range communication (DSRC) technology for freeway incident detection: a performance assessment based on traffic simulation data ', Transportation Research Board Annual Meeting (CD-ROM), Washington, DC, 2007
    • (2007) Transportation Research Board Annual Meeting (CD-ROM)
    • Crabtree, J.D.1    Stamatiadis, N.2
  • 14
    • 0018115446 scopus 로고
    • Freeway incident detection algorithms based on decision trees with states
    • Payne, H.J., and Tignor, S.C.: 'Freeway incident detection algorithms based on decision trees with states ', Transp. Res. Rec., 1978, (682), p. 30-37
    • (1978) Transp. Res. Rec. , Issue.682 , pp. 30-37
    • Payne, H.J.1    Tignor, S.C.2
  • 15
    • 0024631226 scopus 로고
    • Catastrophe theory and patterns in 30-second freeway traffic data. Implications for incident detection
    • Bhagwant, P., and Hall, F.: 'Catastrophe theory and patterns in 30-second freeway traffic data. Implications for incident detection ', Transp. Res. A, 1989, 2, p. 103-113
    • (1989) Transp. Res. A , vol.2 , pp. 103-113
    • Bhagwant, P.1    Hall, F.2
  • 17
    • 0001009533 scopus 로고
    • Freeway incident detection through filtering
    • 10.1016/0968-090X(93)90024-A
    • Stephanedes, Y., and Chassiakos, A.: 'Freeway incident detection through filtering ', Transp. Res. C, 1993, 1, (3), p. 219-233 10.1016/0968-090X(93) 90024-A
    • (1993) Transp. Res. C , vol.1 , Issue.3 , pp. 219-233
    • Stephanedes, Y.1    Chassiakos, A.2
  • 22
    • 10644266188 scopus 로고    scopus 로고
    • Travel-time prediction with support vector regression
    • 10.1109/TITS.2004.837813 1524-9050
    • Wu, C.-H., Wei, C.-C., and Chang, M.-H.: 'Travel-time prediction with support vector regression ', IEEE Trans. Intell. Transp. Syst., 2004, 5, (4), p. 276-281 10.1109/TITS.2004.837813 1524-9050
    • (2004) IEEE Trans. Intell. Transp. Syst. , vol.5 , Issue.4 , pp. 276-281
    • Wu, C.-H.1    Wei, C.-C.2    Chang, M.-H.3
  • 23
    • 4544262864 scopus 로고    scopus 로고
    • A comparison of the performance of artificial neural networks and support vector machines for the prediction of traffic speed
    • Vanajakshi, L., and Rilett, L.: 'A comparison of the performance of artificial neural networks and support vector machines for the prediction of traffic speed ', IEEE Intelligent Vehicles Symp., 2004, p. 194-199
    • (2004) IEEE Intelligent Vehicles Symp. , pp. 194-199
    • Vanajakshi, L.1    Rilett, L.2
  • 25
    • 85058037836 scopus 로고    scopus 로고
    • Decision support system for predicting traffic diversion impacts across transportation networks using support vector regression
    • Washington, DC
    • Bhavsar, P., and Chowdhury, M.: 'Decision support system for predicting traffic diversion impacts across transportation networks using support vector regression ', Proc. Transportation Research Board Annual Meeting, Washington, DC, 2007
    • (2007) Proc. Transportation Research Board Annual Meeting
    • Bhavsar, P.1    Chowdhury, M.2
  • 27
    • 15244341838 scopus 로고    scopus 로고
    • Support vector machine models for freeway incident detection
    • Chen, R.L., Srinivasan, D., and Tian, E.: 'Support vector machine models for freeway incident detection ', IEEE Proc. Intell. Transp. Syst., 2003, 1, p. 238-243
    • (2003) IEEE Proc. Intell. Transp. Syst. , vol.1 , pp. 238-243
    • Chen, R.L.1    Srinivasan, D.2    Tian, E.3
  • 28
    • 0042664078 scopus 로고    scopus 로고
    • Incident detection using support vector machines
    • Yuan, F., and Cheu, R.: 'Incident detection using support vector machines ', Transp. Res. C, 2003, 11, (3-4), p. 309-328
    • (2003) Transp. Res. C , vol.11 , Issue.34 , pp. 309-328
    • Yuan, F.1    Cheu, R.2
  • 31
    • 78751479032 scopus 로고    scopus 로고
    • Quadstone Limited accessed 15 July 2007
    • Quadstone Limited: 'Paramics traffic simulation model', http://www.paramics-online.com/, accessed 15 July 2007
    • Paramics Traffic Simulation Model
  • 32
    • 72649094047 scopus 로고    scopus 로고
    • Real-time highway traffic condition assessment framework using vehicle-infrastructure integration (VII) with artificial intelligence (AI)
    • 1524-9050
    • Ma, Y., Chowdhury, M., Sadek, A., and Jeihani, M.: 'Real-time highway traffic condition assessment framework using vehicle-infrastructure integration (VII) with artificial intelligence (AI) ', IEEE Trans. Intell. Transp. Syst., 2009, 10, (4), p. 615-627 1524-9050
    • (2009) IEEE Trans. Intell. Transp. Syst. , vol.10 , Issue.4 , pp. 615-627
    • Ma, Y.1    Chowdhury, M.2    Sadek, A.3    Jeihani, M.4
  • 37
    • 0003440665 scopus 로고    scopus 로고
    • Technical Report, Department of Statistics, Stanford University
    • 'Another approach to polychotomous classification ', Technical Report, Department of Statistics, Stanford University, 1996, available at http://www-stat.stanford.edu/reports/friedman/poly.ps.Z
    • (1996) Another Approach to Polychotomous Classification
  • 39
    • 33745767516 scopus 로고    scopus 로고
    • Context-sensitive kernel functions: A distance function viewpoint
    • Schölkopf, B., Burger, C.J.C., Smola, A.J. (Eds.) Berlin/Heidelberg, Germany), (LNCS, 3930)
    • Vanschoenwinkel, B., Liu, F., and Manderick, B.: 'Context-sensitive kernel functions: a distance function viewpoint ', Schölkopf, B., Burger, C.J.C., Smola, A.J. (Eds.): ICMLC 2005, Berlin/Heidelberg, Germany, 2006), (LNCS, 3930), p. 861-870
    • (2006) ICMLC 2005 , pp. 861-870
    • Vanschoenwinkel, B.1    Liu, F.2    Manderick, B.3
  • 40
    • 0347458328 scopus 로고    scopus 로고
    • Periodic posting to the Usenet newsgroucomai.neural-nets
    • Sarle, W.: 'Neural network FAQ ', 1997, Periodic posting to the Usenet newsgroup comp.ai.neural-nets
    • (1997) Neural Network FAQ
    • Sarle, W.1
  • 41
    • 0018115446 scopus 로고
    • Freeway incident detection algorithms based on decision trees with states
    • Payne, H.J., and Tignor, S.C.: 'Freeway incident detection algorithms based on decision trees with states ', Transp. Res. Rec., 1978, 1, (682), p. 30-37
    • (1978) Transp. Res. Rec. , vol.1 , Issue.682 , pp. 30-37
    • Payne, H.J.1    Tignor, S.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.