An urban traffic simulation model for traffic congestion predicting and avoiding

@article{Hu2016AnUT,
  title={An urban traffic simulation model for traffic congestion predicting and avoiding},
  author={Wenbin Hu and Huan Wang and Zhenyu Qiu and Liping Yan and Cong Nie and Bo Du},
  journal={Neural Computing and Applications},
  year={2016},
  volume={30},
  pages={1769-1781}
}
Urban traffic congestion is a common problem that affects many cities around the world. In this paper, an actual urban traffic simulation model (AUTM) for traffic congestion predicting and avoiding is proposed, which includes three key components: the map and transfer (MT) conversion method, the optimized spatial evolution rules, and a congestion-avoidance routing algorithm. Three key techniques are combined in our proposed model: (1) The MT conversion method is proposed to get actual urban… CONTINUE READING