Have a personal or library account? Click to login
Road Traffic Congestion Management Based on a Search-Allocation Approach Cover

Road Traffic Congestion Management Based on a Search-Allocation Approach

By: Jamal Raiyn  
Open Access
|Feb 2017

References

  1. 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.2003.08.005
  2. 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_61
  3. 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.
  4. 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.
  5. 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)
  6. 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.
  7. 7. Raiyn, J. (2016) Speed Adaptation in Urban Road Network Management, Transport and Telecommunication, 17, 2. 111-121.
  8. 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.2008.4732581
  9. 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.
  10. 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.
  11. 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)00026-3
  12. 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.2009.03.005
DOI: https://doi.org/10.1515/ttj-2017-0003 | Journal eISSN: 1407-6179 | Journal ISSN: 1407-6160
Language: English
Page range: 25 - 33
Published on: Feb 25, 2017
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2017 Jamal Raiyn, published by Transport and Telecommunication Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.