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  1.  29
    Dynamic Traffic Congestion Simulation and Dissipation Control Based on Traffic Flow Theory Model and Neural Network Data Calibration Algorithm.Li Wang, Shimin Lin, Jingfeng Yang, Nanfeng Zhang, Ji Yang, Yong Li, Handong Zhou, Feng Yang & Zhifu Li - 2017 - Complexity:1-11.
    Traffic congestion is a common problem in many countries, especially in big cities. At present, China’s urban road traffic accidents occur frequently, the occurrence frequency is high, the accident causes traffic congestion, and accidents cause traffic congestion and vice versa. The occurrence of traffic accidents usually leads to the reduction of road traffic capacity and the formation of traffic bottlenecks, causing the traffic congestion. In this paper, the formation and propagation of traffic congestion are simulated by using the improved medium (...)
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  2.  27
    Vehicle Information Influence Degree Screening Method Based on GEP Optimized RBF Neural Network.Jingfeng Yang, Nanfeng Zhang, Ming Li, Yanwei Zheng, Li Wang, Yong Li, Ji Yang, Yifei Xiang & Lufeng Luo - 2018 - Complexity 2018:1-12.
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  3.  9
    Multiconstrained Network Intensive Vehicle Routing Adaptive Ant Colony Algorithm in the Context of Neural Network Analysis.Shaopei Chen, Ji Yang, Yong Li & Jingfeng Yang - 2017 - Complexity:1-9.
    Neural network models have recently made significant achievements in solving vehicle scheduling problems. Adaptive ant colony algorithm provides a new idea for neural networks to solve complex system problems of multiconstrained network intensive vehicle routing models. The pheromone in the path is changed by adjusting the volatile factors in the operation process adaptively. It effectively overcomes the tendency of the traditional ant colony algorithm to fall easily into the local optimal solution and slow convergence speed to search for the global (...)
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    Numerical Calibration Method for Vehicle Velocity Data From Electronic Registration Identification of Motor Vehicles Based on Mobile Edge Computing and Particle Swarm Optimization Neural Network.Jingfeng Yang, Zhiyong Luo, Nanfeng Zhang, Honggang Wang, Ming Li & Jinchao Xiao - 2020 - Complexity 2020:1-13.
    In the development of technology for smart cities, the installation and deployment of electronic motor vehicle registration identification have attracted great attention in terms of smart transportation in recent years. Vehicle velocity measurement is one of the fundamental data collection efforts for motor vehicles. The velocity detection using electronic registration identification of motor vehicles is constrained by the detection algorithm, the material of the automobile windshield, the placement of the decals, the installation method of the signal reader, and the angle (...)
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    Passenger Flow Forecast for Customized Bus Based on Time Series Fuzzy Clustering Algorithm.Ming Li, Linlin Wang, Jingfeng Yang, Zhenkun Zhang, Nanfeng Zhang, Yifei Xiang & Handong Zhou - 2019 - Interaction Studies: Social Behaviour and Communication in Biological and Artificial Systems 20 (1):42-60.
    Customized bus services are conducive to improving urban traffic and environment, and have attracted widespread attention. However, the problems encountered in the new customized bus mode include the large difference between the basis of customized bus passenger flow data analysis and the basis of the traditional bus passenger flow data analysis, and the difficulty in different vehicle scheduling caused by the combination of traditional and customized bus modes. We propose a customized bus passenger flow analysis algorithm and multi-destination customized bus (...)
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  6.  7
    Vehicle Text Data Compression and Transmission Method Based on Maximum Entropy Neural Network and Optimized Huffman Encoding Algorithms.Jingfeng Yang, Zhenkun Zhang, Nanfeng Zhang, Ming Li, Yanwei Zheng, Li Wang, Yong Li, Ji Yang, Yifei Xiang & Yu Zhang - 2019 - Complexity 2019:1-9.
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