Road traffic congestion index calculation method based on fixed detection device

Abstract

The invention discloses a road traffic congestion index calculation method based on a fixed detection device. The method comprises the steps that data collected by the fixed detection device are compared and processed by using a period of 5 to 10 minutes, so as to acquire a representative speed value and travel time of the road in a time period; and a congestion index calculation formula is used to convert the speed value and travel time into a road traffic congestion index to acquire the current traffic congestion of the road. According to the invention, the traffic congestion index of the road network is calculated through parameters such as the length of the road, the travel time, the speed, the number of lanes, the free travel speed, the occupancy rate and the flow rate; travel delay time is used to reflect the traffic congestion index, and the traffic congestion index is closer to the congestion feeling of a driver; the calculation of the road congestion index can provide automatic input parameters for an urban intelligent traffic light signal controller; automatic traffic light control is realized; and the road use efficiency and the work efficiency of a traffic management department are improved.

Description

technical field [0001] The invention relates to a calculation method of a traffic congestion index, in particular to a calculation method of a road section traffic congestion index based on a fixed detection device, and belongs to the technical field of traffic management. Background technique [0002] With the rapid development of my country's social economy, the number of cars in various cities continues to grow, and many cities are still in the period of urban development of old city reconstruction and new city construction. Road traffic congestion is becoming more and more frequent, and urban road traffic management departments have to use various channels to alleviate traffic congestion and improve road use efficiency and service levels. [0003] Since the 1970s, major cities around the world have begun to build many traffic management systems, and based on comprehensive detection information and predictive analysis, proactive traffic management has been implemented to g...

AI Technical Summary

Problems solved by technology

Traffic flow and vehicle speed are important evaluation indicators for real-time congestion status of urban road traffic, but the size of these two types of parameters cannot give policy makers and travelers an intuitive sense of congestion, so it is necessary to calculate a congestion index to evaluate the current road congestion situation. Carry out grading evaluation

The existing congestion index calculation method has a strong subjective consciousness in the classification strategy, and cannot achieve accurate grouping from a quantitative perspective; in addition, the calculation model has too few parameters to adapt to the actual conditions of traffic in different cities. The road conditions are different, the speed The feeling is not the same

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