Smart city: road traffic evaluation based on traffic flow model
Hui Wang, Jie Cao, Fengmei Xin, XU Li-li, Xin Li
Abstract
Hui Wang, Jie Cao, Fengmei Xin, XU Li-li, Xin Li
Abstract
In the urban intelligent transportation system, the traffic department can better grasp the current situation of traffic flow through the collection and analysis of road traffic information. In the description of the overall traffic situation, most scholars still rely on the observation data in a certain period of time to give subjective evaluation, and can only roughly describe the overall change of traffic data in a certain period of time on a road. The traffic flow model can be used to simulate the traffic congestion situation more accurately, and combined with the developed evaluation index, any instantaneous traffic congestion situation can be evaluated at multiple points, providing a scientific and effective theoretical basis for the traffic diversion and traffic control of smart cities.
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In the urban intelligent transportation system, the traffic department can better grasp the current situation of traffic flow through the collection and analysis of road traffic information. In the description of the overall traffic situation, most scholars still rely on the observation data in a certain period of time to give subjective evaluation, and can only roughly describe the overall change of traffic data in a certain period of time on a road. The traffic flow model can be used to simulate the traffic congestion situation more accurately, and combined with the developed evaluation index, any instantaneous traffic congestion situation can be evaluated at multiple points, providing a scientific and effective theoretical basis for the traffic diversion and traffic control of smart cities.
Key concepts: Traffic flow (computer networking), Traffic congestion reconstruction with Kerner's three-phase theory, Floating car data, Vehicle Information and Communication System, Computer science, Transport engineering, GRASP, Traffic conflict