Factors Affecting Road Rating

Authors

  • Fei Wang College of Electrical Engineering, North China University of Technology
  • Bokuan Zhang College of Electrical Engineering, North China University of Technology
  • Ruishu Gong College of Electrical Engineering, North China University of Technology

DOI:

https://doi.org/10.30564/frae.v3i1.1658

Abstract

The decision of traffic congestion degree is an important research topic today. In severe traffic jams, the speed of the car is slow, and the speed estimate is very inaccurate.

This paper first uses the data collected by Google Maps to reclassify road levels by using analytic hierarchy process. The vehicle speed, road length, normal travel time, traffic volume, and road level are selected as the input features of the limit learning machine, and the delay coefficient is selected. As the limit learning machine as the output value, 10-fold cross-validation is used. Compared with the traditional neural network, it is found that the training speed of the limit learning machine is 10 times that of the traditional neural network, and the mean square error is 0.8 times that of the traditional neural network. The stability of the model Significantly higher than traditional neural networks.

Finally, the delay coefficient predicted by the extreme learning machine and the normal travel time are combined with the knowledge of queuing theory to finally predict the delay time.

Keywords:

Extreme learning machine, Queuing theory, Analytic hierarchy process, Traffic congestion

References

[1] Ruan Chang, Li Yinfeng, Gao Qi. Congestion level prediction of terminal area based on BP God Network [J] Command Information System and Technology, 2019, 10 (04): 83-86.

[2] Xu Jiaqi, Wu Wanneng, Sun Wei, Wang Yaonan, Liang Qiaokang. Optimized Extreme Learning Machine Algorithm and Its Application in Decoupling of Force Information [J / OL]. Journal of Transduction Technology: 1-6 [2019-11 -twenty three].

[3] Hu Liting, Yan Lixia. Comprehensive evaluation of e-commerce shopping platform based on analytic hierarchy process [J / OL]. Modern Marketing (Late Issue), 2019 (11): 244-245 [2019-11-23].

[4] Zhao Wanhuan. Research on Parking Space Optimization of Bus Stations Based on Queuing Theory [J]. Tax, 2019, 13 (27): 294.

[5] Liang Jia, Yang Yucai, Zhang Wanquan, Sheng Xiaohe. Modeling and Analysis of the Number of Tobacco Unloading Service Desks Based on Queuing Theory [J]. Logistics Technology, 2019, 38 (09): 137-140.

[6] Yi Shen, Guohao Song, Huangliang Xu, Yuancheng Xie. Model of node traffic recovery behavior and c ascading congestion analysis in networks [J]. Physica A: Statistical Mechanics and its Application s, 2019.

[7] Zheng Changjiang, Yang Jianzhu, Zheng Shukang. Research on pricing methods for different congestion levels of urban roads [J]. Journal of Guizhou University (Natural Science Edition), 2014, 31 (04): 119-123.

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Issue

Vol. 3 , Iss. 1 (January 2020)

Article Type

Research Paper

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