Time Estimation Method of Abnormal Event Occurrence on Expressway Based on Travel Time Correction

Abstract

The invention discloses a method for estimating the occurrence time of abnormal events on expressways based on travel time correction, S1: extracting vehicle occupancy data of road sections where abnormal events occur, and performing smoothing processing; S2: using FCM algorithm to detect the occurrence time of abnormal events; S3: Based on toll data and bayonet data, obtain the average travel time between adjacent toll stations; S4: According to the data of the upstream and downstream workshops, determine the location of the abnormal event; S5: Extract the abnormal event from the accident occurrence point to the downstream vehicle The time required for the position of the detector; S6: correcting the occurrence time of the abnormal event. The present invention estimates the travel time of the road section, and obtains the time when the event occurs and affects the upstream and downstream detectors through a series of calculations for the obtained road section travel time, and then obtains the event detection time. The estimation of the occurrence time achieves the purpose of quickly estimating the occurrence time of the event.

Description

technical field [0001] The invention relates to the field of traffic data analysis and processing, in particular to a method for estimating the occurrence time of expressway abnormal events based on travel time correction. Background technique [0002] In recent years, the number of vehicles per capita has exploded, and the growth rate of vehicles has far exceeded the speed of the extension and construction of the expressway network. The phenomenon of oversaturation of the road surface has continued to increase, and the probability of abnormal events on the expressway has also greatly increased. [0003] The speed of vehicles on the expressway is fast, and the road surface is closed, and the traffic capacity of the lane is large. In high-speed kilometers, once an abnormal event occurs, such as a traffic accident, road damage, or poor driving conditions due to weather conditions, the consequences will be very serious. Especially under the conditions of bad weather (such as h...

AI Technical Summary

Problems solved by technology

[0004] However, in the actual field implementation, due to the influence of the detection cycle time of the detection equipment and the detection algorithm has a certain hysteresis, the detection time of many events has a certain delay with the real time of the event occurrence

However, due to the high cost of the detectors, sparsely installed vehicle detectors, uneven spacing, and small detection range, the difference between the detection time and the occurrence time is sometimes very large, which will make it impossible for people to know when the event occurred, making it difficult Predict how the subsequent situation will evolve

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