Influence prediction and management and control method for urban expressway emergencies

A technology of emergencies and expressways, applied in the field of intelligent transportation, can solve problems such as underutilization of road resources, incomplete function of ground roads or evacuation roads, and influence on the operation of urban road networks, so as to improve road traffic efficiency, The effect of scientifically balancing traffic flow and reducing the impact of urban traffic

Active Publication Date: 2021-07-13
张晔婷
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AI Technical Summary

Problems solved by technology

In management practice, due to the lack of scientific decision-making basis, expressway congestion caused by traffic accidents, rainy and snowy weather, etc. will cause short-term and long-distance vehicles to queue up on expressways, but the surface roads or decommissioning roads are not fully utilized. Road resources are not fully utilized, which in turn affects the operation of the entire urban road network

Method used

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  • Influence prediction and management and control method for urban expressway emergencies
  • Influence prediction and management and control method for urban expressway emergencies
  • Influence prediction and management and control method for urban expressway emergencies

Examples

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Embodiment 1

[0082] The impact prediction and control method of urban expressway emergencies in this embodiment, taking the elevated as an example, the implementation process is as follows figure 1 shown, including the following steps:

[0083] ①Original data collection: The data includes four types of data: the traffic police’s own data, internal sharing data, external perception data, and Internet acquisition data, as shown in Table 1 below:

[0084]

[0085]

[0086] Table 1 Model related data representation

[0087]②Event perception and establishment of mainline traffic efficiency prediction model: Elevated and mainline traffic efficiency is affected by various factors, such as: bad weather (road area water, snow, icing, smog), traffic accidents, etc. This method cleans and fuses the meteorological data, road surface environment data, traffic accident data, traffic flow and other data collected by the front-end sensing equipment. The impact rate of traffic efficiency (the impac...

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Abstract

The invention relates to an influence prediction and management and control method for urban expressway emergencies, which gathers four types of data of a traffic police own class, an internal sharing class, an external perception class and an internet acquisition class. Models based on event perception and mainline traffic efficiency prediction, congestion prediction based on an LSTM time sequence, signal real-time adaptive control, self-learning optimization and the like are used, and through repeated training and learning, optimization of traffic is finally realized, and the influence of emergencies is reduced.

Description

technical field [0001] The present invention relates to the field of intelligent transportation, and more specifically, to a method for predicting and controlling the impact of urban expressway emergencies based on multi-dimensional perception data. Background technique [0002] With the socio-economic development and the acceleration of urbanization, residential and commercial complexes around urban expressways are gradually increasing, and the road traffic volume is increasing year by year, and the carrying capacity is also increasing. Taking Changzhou as an example, 60% of the vehicles in the city's morning and evening peaks pass on elevated roads. In 2019, the total flow of elevated roads was 228 million vehicles, with a monthly average of 18.632 million vehicles and a daily average of 620,100 vehicles. Urban expressways dominated by elevated roads It has become the first choice for citizens traveling across regions. In management practice, due to the lack of scientific...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01
CPCG08G1/0104G08G1/0129G08G1/0108G08G1/0133G08G1/0137
Inventor 张晔婷王潇博黄小立冯嘉力夏红卫
Owner 张晔婷
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