Research on intelligent transportation solution based on big data mode

Abstract

Abstract This paper presents an intelligent traffic road resource allocation solution based on the traffic big data model. Through the collection and analysis of road traffic information big data, a planning scheme that can minimize road congestion when shared road resources between manned vehicles and unmanned vehicles is established. In order to alleviate the traffic congestion caused by the imbalance between road resources and traffic demand, taking 2020 as an example, the road congestion level is solved and given. When the judgment criterion is between 0 and 0.5, the road congestion level is set to level 3. When the judgment criterion is between 0.5 and 1, the road congestion level is set to level 2, and the remaining levels are level 1 and level 4. When: 1. The speed of the front car before braking is v b = 40km / h. 2. The speed of the rear car before braking is v a = 60km / h, and the car is moving at a constant speed in a short time. 3. When the dry asphalt pavement is taken a b max = 6m / s 2. 4. When the wet asphalt pavement is a bmax = 4.5m / s 2. The degree of road congestion is level 1.