| Providing a web-based platform based on predicted weights from existing conditions |
| Paper ID : 1299-SMPR |
| Authors: |
|
navid arandian *1, Saeed Behzadi2 1civil, student,shahid rajaei, tehran, iran 2Department of Surveying Engineering, Faculty of Civil Engineering |
| Abstract: |
| Nowadas traffic problem has become a major dilemma due to the expansion of urbanization the development of transportation. Traffic itself is the results of various factors, which can have an impact on the environment, and it was also destructive effects on human living. Finding a suitable method to reducethe negative effect of traffic has always been the subject of research in this area. Accordingly, there are different algorithms management and administrative procedures for solving this problem. In this research, a web-based platform is designed using artificial intelligence algorithms, which predicts traffic information in different intervals along with online collecting traffic data. This feature allows the user to instantly view future information of urban traffic. On the other hand, in the proposed model, the transport network edges are determined based on traffic prediction algorithms, which makes route finding closer to reality. The model is implemented on the 7th and 8th districts of Tehran. The algorithm has been applied to more than 100 cases and the results have been compared with existing algorithms. The results of this comparison show that in addition to higher precision, the proposed platform is averagely 10 minutes faster than similar programs. |
| Keywords: |
| Shortest path, web GIS, network analysis, neural network |
| Status : Conditional Accept (Oral Presentation) |
