Hierarchical road network traffic jam evaluation method

Abstract

The invention discloses a hierarchical road network traffic jam evaluation method, and the method solves the problem in the prior art that evaluation is mostly carried out on the operation state of a single road section. The method specifically comprises the following steps of: firstly, layering urban roads, utilizing a layered sampling method to calculate lowest road section sample sizes of different road sections; secondly, according to a traffic volume and an occupancy rate, utilizing a fuzzy identification method to judge the traffic jam state of each road section; and then, calculating the vehicle driving time, establishing a road network traffic jam evaluation module, and calculating a traffic jam index. Starting with road section traffic jam state analysis, the road network jam state is hierarchically evaluated from microscopic road sections to macroscopic road sections, so that the method is good in good in practicality, and reference bases are provided to traffic management departments for analyzing the jam phenomenon of an urban traffic system in the future.

Description

technical field [0001] The invention relates to the technical field of urban road traffic control, further belongs to the field of traffic state evaluation, and in particular relates to a hierarchical road network traffic congestion evaluation method. Background technique [0002] The development level of urban transportation is an important symbol of urban economic development. Since the 1980s, with the rapid development of my country's social economy and the advancement of urbanization, the number of urban motor vehicles and road traffic has continued to increase, and the demand for urban transportation has grown rapidly, but the construction of urban transportation facilities has been relatively slow. Moreover, due to the existence of potential traffic volume and the limitation of urban space, the relationship between traffic supply and demand is unbalanced. Therefore, traffic congestion is common in large and medium-sized cities all over the world. Alleviating traffic co...

AI Technical Summary

Problems solved by technology

Since the 1980s, with the rapid development of my country's social economy and the advancement of urbanization, the number of urban motor vehicles and road traffic has continued to increase, and the demand for urban transportation has grown rapidly, but the construction of urban transportation facilities has been relatively slow.

[0004] Li Dandan and Wang Jianqiang proposed a general traffic congestion evaluation method based on the traffic congestion index model in their paper "Research on Evaluation Method of Urban Road Network Traffic Congestion Based on Exponential Model" ("Western Transportation Science and Technology" Journal, 2015, 01). The calculation process of each evaluation index of the model is introduced. The shortcoming of this method is that the traffic congestion level of each road in the road network can be judged only based on the average travel speed of each road section.

The disadvantage of this method is that it only analyzes the main roads and expressways in Beijing, and lacks the research on secondary roads and branch roads. Finally, it only evaluates the congestion of road sections, and lacks an overall evaluation of the urban road network.

[0006] In previous studies, there have been some research results in the evaluation of urban traffic management, road traffic service level, and intelligent transportation system effects in my country, but there are few evaluations specifically aimed at road network traffic congestion.

Moreover, most of the current evaluation methods for road operation status are based on the evaluation of the operation status of a single road section, and there is a lack of evaluation methods for hierarchical road network congestion status from micro-sections to macro-level road networks.

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