References
- Celikoglu, H. B.; Cigizoglu, H. K. 2007a. Modelling public transport trips by radial basis function neural networks, Mathematical and Computer Modelling 45(3–4): 480–489. http://dx.doi.org/10.1016/j.mcm.2006.07.002
- Celikoglu, H. B.; Cigizoglu, H. K. 2007b. Public transportation trip flow modeling with generalized regression neural networks, Advances in Engineering Software 38(2): 71–79. http://dx.doi.org/10.1016/j.advengsoft.2006.08.003
- Çetiner, B. G.; Sari, M.; Borat, O. 2010. A neural network based traffic-flow prediction model, Mathematical and Computational Applications 15(2): 269–278.
- Chandra, S.; Kumar, U. 2003. Effect of lane width on capacity under mixed traffic conditions in India, Journal of Transportation Engineering 129(2): 155–160. http://dx.doi.org/10.1061/(ASCE)0733-947X(2003)129:2(155)
- De Luca, M.; Dell'Acqua, G. 2012. Freeway safety management: case studies in Italy, Transport 27(3): 320–326. http://dx.doi.org/10.3846/16484142.2012.724447
- Dia, H. 2001. An object-oriented neural network approach to short-term traffic forecasting, European Journal of Operational Research 131(2): 253–261. http://dx.doi.org/10.1016/S0377-2217(00)00125-9
- Dougherty, M. 1995. A review of neural networks applied to transport, Transportation Research Part C: Emerging Technologies 3(4): 247–260. http://dx.doi.org/10.1016/0968-090X(95)00009-8
- Dougherty, M. S.; Cobbett, M. R. 1997. Short-term inter-urban traffic forecasts using neural networks, International Journal of Forecasting 13(1): 21–31. http://dx.doi.org/10.1016/S0169-2070(96)00697-8
- Dunne, S.; Ghosh, B. 2011. Traffic flow predictions employing neural networks in a novel traffic flow regime separation technique, in Proceedings of the ITRN2011, 31 August – 1 September 2011, Cork, Ireland. Available from: http://www.itrn.ie/uploads/sesC3_ID137.pdf
- Gao, Y.; Sun, S. 2010. Multi-link traffic flow forecasting using neural networks, in 2010 Sixth International Conference on Natural Computation (ICNC), 10–12 August 2010, Yantai, Shandong, China, 1: 398–401. http://dx.doi.org/10.1109/ICNC.2010.5582914
- Khan, S. I.; Maini, P. 1999. Modeling heterogeneous traffic flow, Transportation Research Record 1678: 234–241. http://dx.doi.org/10.3141/1678-28
- Kirby, H. R.; Watson, S. M.; Dougherty, M. S. 1997. Should we use neural networks or statistical models for short-term motorway traffic forecasting?, International Journal of Forecasting 13(1): 43–50. http://dx.doi.org/10.1016/S0169-2070(96)00699-1
- Kumar, P.; Singh, V.; Reddy, D. 2005. Advanced traveler information system for Hyderabad city, IEEE Transactions on Intelligent Transportation Systems 6(1): 26–37. http://dx.doi.org/10.1109/TITS.2004.838179
- Ledoux, C. 1997. An urban traffic flow model integrating neural networks, Transportation Research Part C: Emerging Technologies 5(5): 287–300. http://dx.doi.org/10.1016/S0968-090X(97)00015-6 Neuro Solution Software. 2012. Version 5.0. Available from: http://www.neurosolutions.com
- Pamuła, T. 2011. Road traffic parameters prediction in urban traffic management systems using neural networks, Transport Problems – Problemy Transportu 6(3): 23–28.
- Pucher, J.; Korattyswaropam, N.; Mittal, N; Ittyerah, N. 2005. Urban transport crisis in India, Transport Policy 12(3): 185–198. http://dx.doi.org/10.1016/j.tranpol.2005.02.008
- Sharma, N.; Arkatkar, S. S.; Sarkar, A. K. 2011. Study on heterogeneous traffic flow characteristics of a two-lane road, Transport 26(2): 185–196. http://dx.doi.org/10.3846/16484142.2011.593120
- Sivanandam, S. N.; Sumathi, S.; Deepa, S. N. 2006. Introduction to Neural Networks Using Matlab 6.0. Tata McGraw-Hill Publishing Company. 187 p.
- Theja, P. V. V. K.; Vanajakshi, L. 2010. Short term prediction of traffic parameters using support vector machines technique, in Proceedings of the Third International Conference on Emerging Trends in Engineering and Technology, 19–21 November 2010, Goa, India, 70–75. http://dx.doi.org/10.1109/ICETET.2010.37
- Wu, S.; Zhang, J. 2000. The application of neural networks to the prediction of traffic noise, International Journal of Acoustics and Vibration 5(4): 179–182.
- Yeung, D. S.; Cloete, I.; Shi, D.; Ng, W. W. Y. 2010. Sensitivity Analysis for Neural Networks Springer. 94 p.
- Zhang, X.-L.; He, G.-G. 2007. Forecasting approach for short-term traffic flow based on principal component analysis and combined neural network, Systems Engineering – Theory & Practice 27(8): 167–171. http://dx.doi.org/10.1016/S1874-8651(08)60052-6