Freeway incident detection based on set theory and short-range communication

References

• Agarwal, S., P. Kachroo, and E. Regentova. 2016. “A Hybrid Model Using Logistic Regression and Wavelet Transformation to Detect Traffic Incidents.” IATSS Research 40 (1): 56–63. doi:10.1016/j.iatssr.2016.06.001.
   Web of Science ®Google Scholar
• Asakura, Y., T. Kusakabe, N. X. Long, and T. Ushiki. 2017. “Incident Detection Methods Using Probe Vehicles with on-Board GPS Equipment.” Transportation Research Part C: Emerging Technologies 81: 330–341. doi:10.1016/j.trc.2016.11.023.
   Web of Science ®Google Scholar
• Calderoni, L., D. Maio, and S. Rovis. 2014. “Deploying a Network of Smart Cameras for Traffic Monitoring on a “City Kernel”.” Expert Systems with Applications 41 (2): 502–507. doi:10.1016/j.eswa.2013.07.076.
   Web of Science ®Google Scholar
• Cheng, H., V. Gau, C. Huang, and J. Hwang. 2012. “Advanced Formation and Delivery of Traffic Information in Intelligent Transportation Systems.” Expert Systems with Applications 39 (9): 8356–8368. doi:10.1016/j.eswa.2012.01.184.
   Web of Science ®Google Scholar
• Cheu, R. L., D. Srinivasan, and E. T. Teh. 2003. “Support Vector Machine Models for Freeway Incident Detection.” Paper presented in IEEE International Conference on Intelligent Transportation Systems, Shanghai, October 12–15.
   Google Scholar
• D’Andrea, E., and F. Marcelloni. 2016. “Detection of Traffic Congestion and Incidents from GPS Trace Analysis.” Expert Systems with Applications 73 (1): 43–56. doi:10.1016/j.eswa.2016.12.018.
   Google Scholar
• Kamran, S., and O. Haas. 2007. “A Multilevel Traffic Incidents Detection Approach: Identifying Traffic Patterns and Vehicle Behaviours using Real-time GPS Data.” Paper presented in Intelligent Vehicles Symposium, Istanbul, June 13–15.
   Google Scholar
• Payne, H. J., and S. C. Tignor. 1978. “Freeway Incident-detection Algorithms Based on Decision Trees With States.” Transportation Research Record 682, 30–37.
   Google Scholar
• Persaud, B. N., and F. L. Hall. 1989. “Catastrophe Theory and Patterns in 30-s Freeway Traffic Data-implication for Incident Detection.” Transportation Research Part A: General 23 (2): 103–113. doi:10.1016/0191-2607(89)90071-X.
   Google Scholar
• Ren, J., Y. Chen, L. Xin, J. Shi, B. Li, and Y. Liu. 2016. “Detecting and Positioning of Traffic Incidents via Video-based Analysis of Traffic States in a Road Segment.” IET Intelligent Transport Systems 10 (6): 428–437. doi:10.1049/iet-its.2015.0022.
   Web of Science ®Google Scholar
• Rossi, R., M. Gastaldi, G. Gecchele, and V. Barbaro. 2015. “Fuzzy Logic-based Incident Detection System using Loop Detectors Data.” Transportation Research Procedia 10: 266–275.10.1016/j.trpro.2015.09.076
   Google Scholar
• Siripanpornchana, C., S. Panichpapiboon, and P. Chaovalit. 2016. “Incidents Detection Through Mobile Sensing.” Paper presented in International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, Chiang Mai, June 28–July 1.
   Google Scholar
• Srinivasan, D., X. Jin, and R. L. Cheu. 2004. “Evaluation of Adaptive Neural Network Models for Freeway Incident Detection.” IEEE Transactions on Intelligent Transportation Systems 5 (1): 1–11. doi:10.1109/TITS.2004.825084.
   Web of Science ®Google Scholar
• Tang, S., and H. Gao. 2005. “Traffic-incident Detection-algorithm Based on Non-parametric Regression.” IEEE Transactions on Intelligent Transportation Systems 6 (1): 38–42. doi:10.1109/TITS.2004.843112.
   Web of Science ®Google Scholar
• Tian, F., and H. Dong. 2012. “Simulation of Traffic Incident Detection Based on VISSIM and Neural Network.” Paper presented in IEEE International Conference on Computer Science and Automation Engineering (CSAE), Zhangjiajie, May 25-27.
   Google Scholar
• Wang, Q. 2011. “Traffic Incident Detection Based on Artificial Neural Network.” Paper presented in IEEE International Conference on Communication Software and Networks (ICCSN), Xi’ an, May 27–29.
   Google Scholar
• Wang, J., X. Li, S. S. Liao, and Z. Hua. 2013. “A Hybrid Approach for Automatic Incident Detection.” IEEE Transactions on Intelligent Transportation Systems 14 (3): 1176–1185. doi:10.1109/TITS.2013.2255594.
   Web of Science ®Google Scholar
• Wang, F. Y., S. Tang, Y. Sui, and X. Wang. 2003. “Toward Intelligent Transportation Systems for the 2008 Olympics.” IEEE Intelligent Systems 18 (6): 8–11. doi:10.1109/MIS.2003.1249163.
   Web of Science ®Google Scholar
• Wang, X., and J. Zhang. 2005. “A Traffic Incident Detection Method Based on Wavelet Mallat Algorithm.” Paper presented in IEEE Mid-Summer Workshop on Soft Computing in Industrial Applications (SMCia), Espoo, June 28–30.
   Google Scholar
• Wen, W. 2010. “An Intelligent Traffic Management Expert System with RFID Technology.” Expert Systems with Applications 37 (4): 3024–3035. doi:10.1016/j.eswa.2009.09.030.
   Web of Science ®Google Scholar
• Xie, B., Z. Hu, and H. Ma. 2008. “Fuzzy-logic-based Traffic Incident Detection Algorithm for Freeway.” Paper Presented in International Conference on Machine Learning and Cybernetics, Kunming, July 12–15.
   Google Scholar
• Yang, S., K. Kalpakis, and A. Biem. 2014. “Detecting Road Traffic Events by Coupling Multiple Time series with a Nonparametric Bayesian Method.” IEEE Transactions on Intelligent Transportation Systems 15 (5): 1936–1946. doi:10.1109/TITS.2014.2305334.
   Web of Science ®Google Scholar
• Yang, M. T., and J. Y. Zheng. 2015. “On-road Collision Warning Based on Multiple FOE Segmentation Using a Dashboard Camera.” IEEE Transactions on Vehicular Technology 64 (11): 4974–4984. doi:10.1109/TVT.2014.2378373.
   Web of Science ®Google Scholar
• Yao, B., P. Hu, M. Zhang, and M. Jin. 2014. “A Support Vector Machine with the Tabu Search Algorithm for Freeway Incident Detection.” International Journal of Applied Mathematics & Computer Science 24 (2): 397–404. doi: 10.2478/amcs-2014-0030.
   Web of Science ®Google Scholar
• Yoon, J., B. Noble, and M. Liu. 2007. “Surface Street Traffic Estimation.” Paper presented in 5th International Conference on Mobile Systems, Applications and Services, Puerto Rico, June 11–14.
   Google Scholar
• Yuan, F., and R. L. Cheu. 2003. “Incident Detection Using Support Vector Machines.” Transportation Research Part C: Emerging Technologies 11 (3–4): 309–328. doi:10.1016/S0968-090X(03)00020-2.
   Web of Science ®Google Scholar
• Zhang, K., and M. A. P. Taylor. 2006. “Effective Arterial Road Incident Detection: A Bayesian Network Based Algorithm.” Transportation Research Part C Emerging Technologies 14 (6): 403–417. doi:10.1016/j.trc.2006.11.001.
   Web of Science ®Google Scholar