ARTIFICIAL NEURAL NETWORKS APPLICATION TO THE ESTIMATION OF VEHICLE HEADWAYS IN FREEWAY SECTIONS
作者： Adel Abdennour , Ali S Al-Ghamdi
DOI:
关键词: Field (computer science) 、 Probability density function 、 Control (management) 、 Traffic engineering 、 Industrial engineering 、 Intelligent transportation system 、 Engineering 、 Focus (optics) 、 Transport engineering 、 Artificial neural network 、 Traffic flow
摘要: Vehicle headways play a role of paramount importance in many traffic engineering applications. They provide operators transportation systems with information for selecting and designing control strategies safety measures. Their will undoubtedly even increase particularly the intelligent field. Modeling vehicle headways, as probability distribution function or time series, has been focus large number research projects, most which dealt statistical approach. This paper presents an Artificial Neural Networks (ANN) alternative to classical techniques. Two networks were designed: one series problem other general function. Simulation two data gathered from nine different freeways Riyadh revealed that accurate models can be achieved. The network was trained all mixed up. However, it able reproduce behavior any single freeway
参考文章(11)
All S. Al-Ghamdi, Modeling vehicle headways for low traffic flows on urban freeways and arterial roadways WIT Transactions on the Built Environment. ,vol. 3, pp. 321- 341 ,(2000) , 10.2495/UT990311
David M. Skapura, Building neural networks ,(1995)
Ken-Ichi Funahashi, On the approximate realization of continuous mappings by neural networks Neural Networks. ,vol. 2, pp. 183- 192 ,(1989) , 10.1016/0893-6080(89)90003-8
Lei Xu, Adam Krzyżak, Alan Yuille, On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size Neural Networks. ,vol. 7, pp. 609- 628 ,(1994) , 10.1016/0893-6080(94)90040-X
L.F.A. Wessels, E. Barnard, Avoiding false local minima by proper initialization of connections IEEE Transactions on Neural Networks. ,vol. 3, pp. 899- 905 ,(1992) , 10.1109/72.165592
Gary A. Davis, Nancy L. Nihan, Nonparametric Regression and Short‐Term Freeway Traffic Forecasting Journal of Transportation Engineering-asce. ,vol. 117, pp. 178- 188 ,(1991) , 10.1061/(ASCE)0733-947X(1991)117:2(178)
H. Takagi, N. Suzuki, T. Koda, Y. Kojima, Neural networks designed on approximate reasoning architecture and their applications IEEE Transactions on Neural Networks. ,vol. 3, pp. 752- 760 ,(1992) , 10.1109/72.159063
Kurt Hornik, Maxwell Stinchcombe, Halbert White, Multilayer feedforward networks are universal approximators Neural Networks. ,vol. 2, pp. 359- 366 ,(1989) , 10.1016/0893-6080(89)90020-8
T. Poggio, F. Girosi, Networks for approximation and learning Proceedings of the IEEE. ,vol. 78, pp. 1481- 1497 ,(1990) , 10.1109/5.58326
H. Narazaki, A.L. Ralescu, An improved synthesis method for multilayered neural networks using qualitative knowledge IEEE Transactions on Fuzzy Systems. ,vol. 1, pp. 125- 137 ,(1993) , 10.1109/91.227385