Lane traffic capacity regulation and control method and system based on big data

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Lane traffic capacity regulation and control method and system based on big data

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YAN JUN / FENG SHU / WANG WEI

The invention provides a lane traffic capacity regulation and control method and system based on big data, and relates to the field of traffic regulation and control, and the method comprises the steps: obtaining a lane traffic database through the big data, then obtaining a lane traffic capacity index, generating a traffic capacity evaluation model in combination with the traffic database, and obtaining road traffic real-time data, and evaluating the real-time data through the evaluation model to obtain a lane traffic capacity coefficient, and regulating and controlling road traffic parameters according to the data. The technical problems that vehicles running in the same direction interfere with one another, so that the traffic capacity of another lane is affected, traffic management is incomplete, and regulation and control cannot be conducted in real time according to traffic conditions are mainly solved. The real-time traffic capacity of the lane is evaluated, and the lane is regulated and controlled through the obtained lane traffic capacity coefficient, so that the road traffic condition is optimized, and the transportation efficiency and the driving safety level of the road are improved.

本申请提供了基于大数据的车道通行能力调控方法及系统，涉及交通调控领域，所述方法包括：通过大数据获得车道通行数据库，再获取车道通行能力指标，结合通行数据库生成通行能力评估模型，获取道路通行实时数据，通过评估模型对实时数据进行评估，得到车道通行能力系数，根据这些数据进行道路通行参数调控。本申请主要解决了同向行驶的车辆会相互干扰，从而影响另一条车道的通行能力，交通管理不完善，不能实时根据交通条件进行调控的技术问题。通过对车道实时通行能力进行评估，通过得到的车道通行能力系数进行车道调控，优化了道路通行状况，提高了道路的运输效率和行车安全水平。