Highway congestion prediction and active prevention and control method based on big data

A technology of expressway and big data, which is applied in the traffic control system of road vehicles, traffic flow detection, traffic control system, etc.

Active Publication Date: 2020-01-10
JSTI GRP CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] Aiming at the shortcomings of the current manual intervention methods for expressway congestion, the present

Method used

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  • Highway congestion prediction and active prevention and control method based on big data
  • Highway congestion prediction and active prevention and control method based on big data
  • Highway congestion prediction and active prevention and control method based on big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0098] The main contents of the accumulated historical data of a provincial expressway management company are shown in Table 1:

[0099] Table 1 History table

[0100]

[0101] Step 1: According to the highway network data (corresponding to figure 1 ), construct a directed topological network graph, such as figure 2 shown.

[0102] Step 2: Construct a path table that records the optimal path between any two entry and exit points according to the directed topological network graph.

[0103] Table 2 Optimal path table

[0104]

[0105] Step 3: According to the accumulated historical vehicle traffic data of the expressway management company, the above-mentioned algorithm is used to process the data, combined with the optimal route table, to generate the vehicle driving route selection probability table and the road segment vehicle source time-period ratio table.

[0106] Table 3 Vehicle route selection probability table

[0107]

[0108] Table 4 Proportion of vehic...

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Abstract

The invention relates to a highway congestion prediction and active prevention and control method based on big data. According to the method, firstly, an actual road network is abstracted, a topological graph representing the road network is constructed, and an optimal path between any two points in the graph is calculated; then vehicle historical traffic data are processed to generate a vehicle driving path selection probability table and a road segment vehicle source time-sharing ratio table; according to the vehicle driving path selection probability table, road segments to be reached by network access vehicles at the predicted time are calculated, then the spatial saturation of the road segments is calculated, for the road segment with the saturation greater than a certain threshold, the road segment is judged to be congested at the predicted time, and then the vehicle source ratio on the road segment at the predicted time is found out according to the road segment vehicle source time-sharing ratio table, so that relevant entry points are subjected to vehicle flow entry speed control. According to the method, road congestion can be predicted in advance, a scientific means of avoiding the road congestion is provided, and roads are kept clear.

Description

technical field [0001] The invention relates to a big data-based expressway congestion prediction and active prevention and control method. Background technique [0002] With the rapid development of the economy, the passenger volume and freight volume of expressways are also increasing year by year. On the one hand, the growth rate of vehicle ownership and vehicle usage frequency far exceeds the speed of road supply increase, which makes the contradiction between supply and demand unbalanced; On the other hand, the space saturation of the expressway network continues to rise during the peak period of traffic flow, so that any small emergency will affect the normal operation of the entire road; these reasons lead to the normalization of expressway congestion. [0003] At present, for the congestion situation on the expressway, it is mainly handled through manual intervention: the traffic police will manually guide the congested section of the expressway through personal work...

Claims

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Application Information

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IPC IPC(8): G08G1/01
CPCG08G1/0129G08G1/0133G08G1/0145
Inventor 李剑
Owner JSTI GRP CO LTD
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