Traffic management method based on big data platform

Abstract

The invention discloses a traffic management method based on a big data platform. The traffic management method comprises: formulating one or more travel routes according to a starting point and an end point input by a user; acquiring traffic congestion state information on the travel route; acquiring road construction information on the travel route; acquiring traffic light information on the travel route; and displaying the traffic congestion status information, construction information and traffic light information on the travel route to the user. In this way, the traffic congestion statusinformation, road construction information and traffic light information on the user travel route is acquired and displayed to the user so as to allow the user to select the appropriate travel route,so that the user avoids the congestion and construction road section; and the user's time is saved, vehicles can be evenly distributed on a road network, the congestion of the road section is relieved, and the traffic volume of a smooth road section is increased.

Description

technical field [0001] The invention relates to the technical field of traffic management, in particular to a traffic management method based on a big data platform. Background technique [0002] With the development of modern society, the number of urban vehicles has increased unjustly, and the problem of urban traffic congestion has become more and more serious. People have paid more and more attention to urban transportation, public safety and environmental protection. It cannot solve the above problems. For example, some cities use odd and even number restrictions to adjust vehicle flow, and the scheduling time of traffic lights to deal with traffic congestion can only be an appropriate adjustment function during the peak period of vehicles, and it cannot provide timely and effective services for urban residents. city ​​traffic information. [0003] In the existing urban traffic management system, due to the randomness and irregularity of traffic participation, people's...

AI Technical Summary

Problems solved by technology

[0002] With the development of modern society, the number of urban vehicles has increased unjustly, and the problem of urban traffic congestion has become more and more serious. People have paid more and more attention to urban transportation, public safety and environmental protection. It cannot solve the above problems. For example, some cities use odd and even number restrictions to adjust vehicle flow, and the scheduling time of traffic lights to deal with traffic congestion can only be an appropriate adjustment function during the peak period of vehicles, and it cannot provide timely and effective services for urban residents. city ​​traffic information

[0003] In the existing urban traffic management system, due to the randomness and irregularity of traffic participation, people's social activities increase. When people enter a strange city, because they are not familiar with the traffic environment, although they have the help of GPS navigation, It is also impossible to timely grasp the traffic congestion situation information of the road section and understand the problem of the optimal planning route, which also aggravates the phenomenon of urban road traffic congestion.

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