Urban traffic area jamming judgment method by combining road traffic and weather state

Abstract

The invention discloses an urban traffic area jamming judgment method by combining road traffic and a weather state, and belongs to the technical field of intelligent traffic. A multiple-sensor based wireless sensor network acquires road traffic information and road weather information in real time, and the road traffic information and the road weather information, together with traffic light information, are taken as judgment parameters of the urban traffic area jamming judgment method so as to judge the urban traffic area jamming degree in real time. The urban traffic area jamming judgment method is characterized in that: the road traffic information of average speed, average share and flow rate, the road weather information of average temperature, average humidity and visibility and the traffic light information at each crossing in the area are combined to serve as the judgment parameters so as to judge the urban traffic area jamming condition together. The urban traffic area jamming judgment method has the advantages of improving the accuracy of the road traffic jamming judgment method under various weathers, and simultaneously solving the problem that the conventional methods are not suitable for judging the traffic jamming in complicated urban areas.

Description

technical field [0001] The invention belongs to the technical field of intelligent transportation, and relates to a method for judging urban regional road traffic congestion using a multi-sensor wireless sensor network as an information collection means, in particular to a regional road traffic congestion combining road surface weather conditions and road traffic signals Measure to judge. Background technique [0002] With the increasingly prominent traffic contradictions, road traffic congestion has become a serious problem that plagues economic and social development. Regional traffic congestion is a kind of real-time road traffic information, which reflects the current status of each road traffic status in a specific area. The real-time judgment of regional traffic congestion can not only provide a basis for the traffic management department to manage and guide the traffic in the region, but also provide help for drivers and ordinary travelers when entering the region an...

AI Technical Summary

Problems solved by technology

For example, in heavy fog or heavy rain, vehicles will naturally drive slowly. If the judgment is still made according to the road traffic congestion judgment standard in sunny weather, it will cause errors and greatly reduce the judgment accuracy.

Moreover, the above method is more effective when applied on expressways or expressways, because the traffic conditions of expressways or expressways are relatively single, and on urban roads, this method is not feasible

Because the road network of urban roads is relatively complex, and almost every intersection has traffic lights, so relying solely on vehicle driving parameters to judge road traffic conditions will produce a large error, such as when the traffic lights are red lights. Vehicles will inevitably stop and queue up. If you judge the traffic status at this time, you will mistakenly think that the road is congested.

Therefore, the existing road traffic congestion judgment method is not suitable for the needs of road congestion judgment in urban areas, no matter from the judgment parameters or the judgment method.

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