Travel time index entropy traffic circulation evaluation method

Abstract

The invention discloses a travel time index entropy traffic circulation evaluation method which comprises the following steps of a, calculating the free stream speed of each road section in a road network according to historical speed data provided by road network vehicle detection equipment, b, calculating the travel time index of each road section, c, calculating cut-off positions of the travel time indexes according to a quantile method or road capacity, d, calculating discrete probability distribution of the travel time indexes of a probe vehicle, e, calculating the entropy of the travel time indexes, f, calculating the highest possible value of the entropy as the upper limit of a dynamic range through the maximum entropy theorem, g, using the minimum entropy value Hmin of the travel time indexes as the lower limit of the dynamic range of the entropy of the travel time indexes, and h, carrying out normalization processing between the upper limit and the lower limit of the dynamic range of the entropy to obtain a road network traffic circulation evaluation value. The travel time index entropy traffic circulation evaluation method is a scientific characterization method of traffic circulation states, and measurement of traffic jam severity degree is achieved from the aspects of system confusion and randomness and uncertainty of travel time.

Description

technical field [0001] The invention relates to the technical field of traffic operation status evaluation, in particular to a travel time index entropy traffic operation evaluation method for measuring traffic operation status from the perspective of system disorder and chaos. Background technique [0002] The operation of urban traffic is affected by nature and various social contradictions. Traffic congestion has become an increasingly severe worldwide problem faced by big cities. The understanding and quantitative measurement of the nature of traffic operation conditions are the basis of all congestion mitigation work. Existing methods to measure traffic conditions from various perspectives, including: traffic flow, travel speed, traffic density, distance between vehicles, load, queue length, reliable travel time, congestion mileage ratio, and Travel Time Index (Travel Time Index, referred to as for TTI) etc. These indicators have the following problems when used to ev...

AI Technical Summary

Problems solved by technology

These indicators have the following problems when used to evaluate the traffic operation status: 1. The macro concept is weak, and the traffic is only measured from a certain physical quantity, and the essential explanation of the traffic operation status cannot be given; 2. There are many artificial empirical settings, such as some The method of artificially setting the congestion judgment threshold

So far, there is still no method for measuring the abstractness and essentiality of traffic conditions

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