Road Traffic Congestion Management Based on a Search-Allocation Approach

1. Chrobok, R., Kaumann, O., Wahle, J. and Schreckenberg, M. (2004) Different methods of traffic forecast based on real data, European Journal of Operational Research, 15:558-568.10.1016/j.ejor.2003.08.005Search in Google Scholar

2. Lee, H., Chowdhury, K.N. and Chang, J. (2008) A New Travel Time Prediction Method for Intelligent, Transportation Systems. Springer-Verlag, Berlin, 2008. 473-483.10.1007/978-3-540-85563-7_61Search in Google Scholar

3. Lv, Y. and Tang, S. (2010) Real-time Highway Traffic Accident Prediction Based on the K-Nearest Neighbor Method. International Conference on Measuring Technology and Mechatronics Automation, 3: 547-550.Search in Google Scholar

4. Kammoun, H.M., Kallel, I., Casillas, J., Abraham, A. and Alimi, M.A. (2014) Adapt-Traf: An adaptive multiagent road traffic management system based on hybrid ant-hierarchical fuzzy model, Transportation Research Part C 42 (2014) 147–167.Search in Google Scholar

5. Karim, A. and Adeli, H. (2001) Fast Automatic Incident Detection on Urban and Rural Freeways Using Wavelet Energy Algorithm. Journal of Transportation Engineering, 2001; 129: 57-68.10.1061/(ASCE)0733-947X(2003)129:1(57)Search in Google Scholar

6. Raiyn, J. and Toledo, T. (2012) Performance analysis and evaluation of short-term travel forecast schemes based on cellular mobile services. International Review of Civil Engineering. 3, 2, 201-205.Search in Google Scholar

7. Raiyn, J. (2016) Speed Adaptation in Urban Road Network Management, Transport and Telecommunication, 17, 2. 111-121.Search in Google Scholar

8. Tu, H., Van Lint, H. and Van Zuylen, H. (2008) The Effects of Traffic Accidents on Travel Time Reliability”, IEEE Conference on Intelligent Transportation Systems, Beijing, China, Oct; 12-15.10.1109/ITSC.2008.4732581Search in Google Scholar

9. Xia, J. (2010) Predicting Freeway Travel Time under Incident Condition. Proceedings of Transportation Research Board’s 89th Annual Meeting CD-ROM, Jan; 10-14; Washington, DC.Search in Google Scholar

10. Xiaoqiang, Z., Ruimin, L. and Xinxin, Y. (2010). Incident Duration Model on Urban Freeways Based on Classification and Regression Tree. 2nd International Conference on Intelligent Computation Technology and Automation, TRB Annual Meeting, 2, 526-528.Search in Google Scholar

11. Zhang, X. and Rice, J.A. (2003) Short-term travel time prediction. Transport. Res. Part C: Emer. Technol.; 11(3–4): 187–210.10.1016/S0968-090X(03)00026-3Search in Google Scholar

12. Zheng, X. and Liu, M. (2009). An overview of accident forecasting methodologies, Journal of Loss Prevention in the Process Industries 2009; 22: 484-491.10.1016/j.jlp.2009.03.005Search in Google Scholar