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Method of Predicting Average Travel Distance and Congestion-prone Road Sections Based on Planning Road Network

A road network, averaging technology, applied in the direction of road vehicle traffic control system, traffic flow detection, instruments, etc., can solve problems such as road congestion that cannot be quantitatively reflected

Active Publication Date: 2022-05-31
JISHOU UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this evaluation cannot quantitatively reflect which roads are prone to congestion

Method used

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  • Method of Predicting Average Travel Distance and Congestion-prone Road Sections Based on Planning Road Network
  • Method of Predicting Average Travel Distance and Congestion-prone Road Sections Based on Planning Road Network
  • Method of Predicting Average Travel Distance and Congestion-prone Road Sections Based on Planning Road Network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0120] Road Network Density

[0122]

[0126] Next we perform the per capita travel distance calculation. Now, according to whether the starting and ending units of the traffic trip are the same, we

[0127]

[0129] P

[0130] For unit ③, we adopt a similar approach, where the traffic is distributed to nodes 3 and 4. Allocated to two

[0133]

[0135] The third step of the per capita travel distance calculation is the calculation of the intra-unit traffic distance. Here we take the intersection within unit ①

[0136]

[0139]

[0144] Using a certain traffic allocation method, the traffic volume between the units in the finite element method is allocated according to a specific path

[0146] The planned connecting roads C, D, E are now selected. As shown in Table 2, we compare the performance of 7 different connection methods

[0148]

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Abstract

The invention discloses a method for predicting the average travel distance and road sections prone to congestion according to the planned road network, which comprises the following steps: Step 1: planning the road network and completing land use planning; Traffic generation and traffic absorption on each small plot; Step 3: Distribute traffic generation or absorption to each road; Step 4: Divide road units and mark road unit nodes; Step 5: According to the travel path , to calculate the average travel distance; Step 6: Calculate the average travel distance of the entire road network; Step 7: Predict the traffic volume and traffic volume ratio on each road section unit of the road network; Step 8: Evaluate the planned road network. The invention has the advantage of predicting the average travel distance and the traffic volume on each road during the road planning stage. The change predicts the change of the average travel distance at each stage of urban development and the road sections that are prone to traffic congestion at each stage, reflecting which roads are prone to congestion.

Description

A method for predicting the average travel distance and easily congested road sections based on the planned road network technical field The present invention relates to the technical field of road congestion prediction, particularly a kind of predicting average travel distance according to planning road network The method of distance and easily congested road sections. Background technique [0002] With the widespread use of private cars, road congestion has always been an important problem that plagues urban construction at home and abroad. question. At present, there is no perfect solution to this problem. The existing common methods to solve the problem of road congestion mainly include: The following ways: 1. improve means of transportation, such as building subway, light rail etc.; 2. improve road conditions, such as widening the road to increase the number of lanes, building three-dimensional traffic etc.; 3. Strengthen traffic management, such as number-li...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G08G1/065
CPCG08G1/0125G08G1/0137G08G1/065
Inventor 周沙溆
Owner JISHOU UNIVERSITY
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