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JSIR Vol.65 [2006] >
JSIR Vol.65(07) [July 2006] >
| Title: | Modeling vehicle delays at signalized junctions: Artificial neural networks approach |
| Authors: | Murat, Y Sazi
Baskan, Ozgur |
| Keywords: | Artificial neural networks
Intersections
Signalization
Traffic flows
Vehicle delay model |
| Issue Date: | Jul-2006 |
| Publisher: | CSIR |
| Abstract: | Delay of vehicles at signalized junctions is one of the main criteria used for evaluation of control systems’ performances. The vehicle delay is uniform and non-uniform delay types. The uniform part consists of signal timings; the non-uniform part includes vehicle queuing, random arrivals and over-saturation cases of traffic flows. The uniform part of the vehicle delays is basically determined using conventional delay formulas. But for the non-uniform part, artificial neural network (ANN) approach is used and a vehicle delay estimation model [artificial neural network delay estimation of traffic flows (ANNDEsT)] is developed. ANNDEsT model compared with Webster, HCM and Akçelik delay calculation methods and field observations, shows encouraging results especially for the cases of over-saturation or non-uniform conditions. |
| Page(s): | 558-564 |
| ISSN: | 0975-1084 (Online); 0022-4456 (Print) |
| Source: | JSIR Vol.65(07) [July 2006]
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