Intelligent traffic management system model based on LSTM-TOPSIS-Dijkstra

Weihao Hong; Xiangyu Zhang

doi:10.1117/12.3026628

27 March 2024 Intelligent traffic management system model based on LSTM-TOPSIS-Dijkstra

Weihao Hong, Xiangyu Zhang

Proceedings Volume 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023); 131053O (2024) https://doi.org/10.1117/12.3026628
Event: 3rd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 2023, Qingdao, China

Abstract

In order to solve the problems in urban traffic flow and congestion management, this paper established a comprehensive management model based on the ideas of traffic management and optimization, by determining the indicators of traffic flow, congestion degree, traffic efficiency, and so on. The model was implemented and validated through the following steps. First,this paper provided a traffic flow prediction method based on the LSTM model. By training the historical traffic data, the model could accurately predict the future traffic flow. In addition,we used the TOPSIS comprehensive evaluation-Dijkstra algorithm for route planning optimization. Finally,by optimizing signal control, traffic flow control, and route planning, the effectiveness of the model was evaluated and an optimal path algorithm was provided to drivers to minimize their travel time. We concluded the model as the Intelligent Transportation System framework. Our model has good applicability in practical applications and can reasonably solve urban traffic flow and congestion problems. The model not only fits the actual situation, but also features strong practicality and high efficiency of the algorithm, providing an effective support tool for the urban traffic management department.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Weihao Hong and Xiangyu Zhang "Intelligent traffic management system model based on LSTM-TOPSIS-Dijkstra", Proc. SPIE 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 131053O (27 March 2024); https://doi.org/10.1117/12.3026628

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KEYWORDS

Intelligence systems

Data modeling

Transportation

Mathematical optimization

Buildings

Modeling

Systems modeling

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