School of Naval Architecture Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Sensors (Basel). 2021 Nov 4;21(21):7341. doi: 10.3390/s21217341.
Dynamic traffic flow, which can facilitate the efficient operation of traffic road networks, is an important prerequisite for the application of reasonable assignment of traffic demands in an urban road network. In order to improve the accuracy of dynamic traffic flow assignment, this paper proposes a dynamic traffic flow assignment model based on GPS trajectory data and the influence of POI. First, this paper explores the impact patterns of POI on regional road network congestion during peak hours through qualitative and quantitative analysis. Then, based on the user equilibrium theory, a dynamic traffic flow assignment model, in which the effect of POI on links is reflected using the link-node impedance function, is proposed. Finally, the accuracy of the model is validated by the GPS trajectory data and origin-destination (OD) traffic data of motor vehicles in Xuhui District, Shanghai, China. The results show that the model can be used to coordinate and optimize the traffic assignment of the regional road network under the influence of POI during peak hours and alleviate the congestion of the road network. The findings can provide a powerful reference for developing scientific and rational traffic assignment decisions and management strategies for urban road network traffic.
动态交通流可以促进交通路网的高效运行，是实现城市路网交通需求合理分配的重要前提。为了提高动态交通流分配的准确性，本文提出了一种基于 GPS 轨迹数据和 POI 影响的动态交通流分配模型。首先，通过定性和定量分析，探讨了 POI 对高峰时段区域路网拥堵的影响模式。然后，基于用户均衡理论，提出了一种动态交通流分配模型，该模型通过链路-节点阻抗函数来反映 POI 对链路的影响。最后，利用上海市徐汇区的 GPS 轨迹数据和机动车 OD 交通数据对模型的准确性进行了验证。结果表明，该模型可以协调和优化高峰时段 POI 影响下的区域路网交通分配，缓解路网拥堵。研究结果可为制定科学合理的城市路网交通分配决策和管理策略提供有力参考。
