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Multi-mode traffic lane refined setting method based on branch and bound method

A branch-and-bound method, multi-method technology, applied in road vehicle traffic control systems, special data processing applications, instruments, etc., can solve the problem of discontinuous bus lane setting, non-motor vehicle lane congestion, pedestrian and non-motor vehicle conflict To avoid waste and unreasonable road space resources, improve traffic efficiency and improve algorithm efficiency

Pending Publication Date: 2022-02-08
CHANGAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the above-mentioned deficiencies in the prior art, the multi-mode traffic lane refinement setting method based on the branch-and-bound method provided by the present invention solves the problem of discontinuous setting of bus-only lanes under the condition of limited road space resources existing in the existing road space optimization technology. Serious congestion of non-motorized lanes, conflicts between pedestrians and non-motorized vehicles, road adjustments based on lanes without considering the optimal adjustment of width, only single-objective, single-section, and single-way allocation of road right-of-way, ignoring the global network multi-way right-of-way allocation question

Method used

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  • Multi-mode traffic lane refined setting method based on branch and bound method
  • Multi-mode traffic lane refined setting method based on branch and bound method
  • Multi-mode traffic lane refined setting method based on branch and bound method

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Embodiment 1

[0053] Such as figure 1 As shown, the multi-mode traffic lane refinement setting method based on the branch and bound method in this embodiment includes the following steps:

[0054] S1. Construct a bi-level planning model based on the branch-and-bound method based on the basic regional traffic data of the target expansion area, including an upper-level planning model and a lower-level traffic distribution model. The upper-level planning model provides a multi-modal road space planning scheme, and the lower-level traffic distribution model The model simulation obtains the characteristic index after implementing the planning scheme of the upper-level planning model, and evaluates the road allocation scheme based on the upper-level model according to it;

[0055] S2. Continuously optimize the road allocation scheme based on the evaluation results, obtain the optimal road allocation scheme, and finely set the traffic lanes according to it.

[0056] The embodiment of the present ...

Embodiment 2

[0058] This embodiment is a further extension of step S1 in Embodiment 1;

[0059] The basic regional traffic data in step S1 of this embodiment includes traffic facility physical data, traffic control data, and traffic demand data; wherein, the traffic facility physical data includes the two-way total width of road sections included in each street, the width of lanes, green belts, road shoulders, etc. , road section length, lane attributes such as HOV lanes, bus lanes, intermittent bus lanes, etc.; traffic management data include intersection signal cycle, phase, lane traffic control measures at each time period, parking charges, lane and vehicle speed limit, vehicle type limit Speed ​​measures, the minimum width requirements of each functional lane, the planning accuracy of the general lane width, the hourly traffic capacity of the standard lane, etc.; the traffic demand data includes the departure point to the destination peak of the traffic travelers in the area (such as th...

Embodiment 3

[0109] This embodiment is a further extension of step S2 in Embodiment 1;

[0110] The method for obtaining the optimal road allocation scheme in step S2 of this embodiment is specifically as follows:

[0111] S21. Based on the new road allocation scheme, update the lower-level traffic distribution model and perform multi-modal dynamic traffic allocation to obtain allocation results and characteristic indicators;

[0112] S22. Based on the feature index, judge whether the new road allocation scheme generated by the current upper-level planning model is better than the previous road allocation scheme, if yes, proceed to step S23, if not, proceed to step S24;

[0113] S23. Based on the allocation results obtained by the current lower-level traffic distribution model, sort the congestion levels of streets in the area again, and then update the upper-level planning model, and obtain a new road allocation plan, and enter step S25;

[0114] S24. Screen the next priority street for ...

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Abstract

The invention discloses a multi-mode traffic lane refined setting method based on a branch and bound method. By starting from the perspective of urban multi-mode traffic network optimization, and considering an optimal combination of lane widths under existing width constraints, the multi-mode road space distribution of travel rights and interests of various travelers such as private cars, buses, non-motor vehicles, and the like is balanced, so that the urban multi-mode traffic right distribution is effectively balanced, the urban road space utilization efficiency is improved, and the travel experience of residents is improved.

Description

technical field [0001] The invention belongs to the technical field of road space optimization, and in particular relates to a method for finely setting multi-mode traffic lanes based on a branch and bound method. Background technique [0002] Urban road space is the carrier space for people to move and transform, and it is an important infrastructure that determines whether the urban flow of people and goods can be effectively and quickly transported. The specific form of urban road space allocation is the road cross-section form corresponding to different road grades. Road cross-sections are generally composed of motor vehicle lanes, non-motor vehicle lanes, sidewalks, traffic separation belts, facility belts, and green belts. Special sections may also include emergency lanes, road shoulders, and drainage ditches. Due to the high intensity of urban development and the intensive construction of commercial and residential buildings on both sides of the existing urban roads,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/18G08G1/01
CPCG06F30/18G08G1/0104
Inventor 黄岩李宗志周备张生瑞王剑坡张蕾
Owner CHANGAN UNIV
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