基于车牌大数据的车辆管控政策制定方法研究--以广州为例

Research on The Vehicle Management Policy Making Based on Plate Big Data:Taking Guangzhou as an Example

传统的车辆管控政策主要以定性分析为准,但随着信息技术的发展,交通大数据越来越丰富,基于交通大数据可以定量化分析车辆管控政策。针对各种类型的车辆提出相应的车辆管控措施,形成车辆管控政策体系;进一步以卡口车牌大数据为基础,提出全过程定量化辅助车辆管控政策制定的方法,包括在政策实施前发现及分析问题、政策制定中辅助及预估效果、实施后评估效果等。最后以广州外市籍车辆“开四停四”管控政策为例,全过程说明车牌大数据的应用,验证说明技术方法的科学有效性。

The traditional vehicle management policy is mainly based on qualitative analysis,but with the development of information technology,traffic big data is becoming more and more abundant.Based on the traffic big data,the vehicle management policy can be analyzed quantitatively.For various types of vehicles,the corresponding vehicle management measures are proposed to form a vehicle management policy system;further,based on the plate big data,the whole process quantitative auxiliary vehicle management policy formulation method is proposed,including finding and analyzing problems before the implementation of the policy,assisting and estimating the effect in the policy formulation,and evaluating the effect after the implementation.Finally,taking the Guangzhou management policy of"four driving,four stopping"for vehicles from other cities as an example,the application of plate big data is illustrated in the whole process,and the scientific effectiveness of the technical method is verified.