﻿ 基于合理出行结构的道路资源配置方法 Road Resource Allocation Method Based on Reasonable Travel Structure

Open Journal of Transportation Technologies
Vol. 09  No. 03 ( 2020 ), Article ID: 35688 , 7 pages
10.12677/OJTT.2020.93017

Road Resource Allocation Method Based on Reasonable Travel Structure

Yaxue Feng, Wenyong Li, Hang Nong

School of Architecture and Transportation Engineering, Guilin University of Electronic Technology, Guilin

Guangxi

Received: May 1st, 2020; accepted: May 14th, 2020; published: May 21st, 2020

ABSTRACT

With the improvement of living standards, the demand for resident travel is increasing, and the contradiction between supply and demand of urban roads gradually appears. Due to the lack of foresight in road planning and design in some cities, the road resources in built-up areas are limited and its allocation is irrational, resulting in frequent traffic congestion in recent years. By analyzing the relationship between the travel structure and the road resource allocation, the method of the road resource allocation based on a reasonable travel structure was proposed. And the feasibility of it was verified by applying it to Guilin.

Keywords:Resource Allocation, Travel Structure, Optimization Model

Copyright © 2020 by author(s) and Hans Publishers Inc.

This work is licensed under the Creative Commons Attribution International License (CC BY 4.0).

http://creativecommons.org/licenses/by/4.0/

1. 引言

2. 道路资源优化配置方法

2.1. 出行结构与道路资源关系分析

2.2. 基于合理出行结构的道路资源优化配置方法

2.2.1. 出行结构优化模型构建

1). 模型假设

2). 模型构建

$\left\{\begin{array}{l}\mathrm{max}P={\sum }_{i=1}^{6}{v}_{i}{a}_{i}{r}_{i}{l}_{i}\\ \mathrm{min}S={\sum }_{i=1}^{6}{P}_{0}{r}_{i}{s}_{i}\\ \mathrm{min}E={\sum }_{i=1}^{6}{e}_{i}{r}_{i}\text{+}{\sum }_{i=1}^{6}\frac{1}{60}{t}_{i}{r}_{i}w\alpha \\ \mathrm{min}C={\sum }_{i=1}^{6}\frac{{a}_{i}}{{m}_{i}}{r}_{i}\end{array}$ (1)

$s.t.\left\{\begin{array}{l}{\sum }_{i=1}^{6}{P}_{0}{r}_{i}{l}_{i}\ge \xi \cdot Q\rho \stackrel{¯}{l}\\ {\sum }_{i=1}^{6}{r}_{i}{s}_{i}\le \stackrel{¯}{s}\\ {\sum }_{i=1}^{6}{P}_{0}{r}_{i}{b}_{i}\cdot 365\le {E}_{c{o}_{2}}\\ {\sum }_{i=1}^{6}{r}_{i}=1\\ {r}_{i}>0\\ i=1,\cdot \cdot \cdot ,6\end{array}$ (2)

3). 模型求解

$\mathrm{max}\sum {A}_{\sigma }$ (3)

${A}_{\sigma }=\frac{{B}_{\sigma }-{B}_{\sigma }{}_{\mathrm{min}}}{{B}_{\sigma }{}_{\mathrm{max}}-{B}_{\sigma }{}_{\mathrm{min}}}$ (4)

${A}_{\sigma }=1-\frac{{B}_{\sigma }-{B}_{\sigma }{}_{\mathrm{min}}}{{B}_{\sigma }{}_{\mathrm{max}}-{B}_{\sigma }{}_{\mathrm{min}}}$ (5)

$\sigma =P,\text{S},\text{E},\text{C}$

2.2.2. 道路资源配置步骤

Figure 1. The steps of road resource allocation

3. 实例应用

3.1. 桂林市合理出行结构求解

Table 1. Traffic parameter values of Guilin

Table 2. Reasonable travel structure of Guilin

3.2. 桂林市道路资源配置方案

Table 3. Initial width

3.3. 配置方案评价

Table 4. The scheme of road resource allocation

(1) 以桂林市出行结构优化结果为基础，明确了不同交通方式的道路空间资源占用，能够引导桂林市出行结构向公平、高效、低碳、可持续、高品质的方向发展。

(2) 优化方案能够达到约束条件内的最高客运周转量、最高交通资源利用率、最低出行成本和最低拥挤度。

(3) 优化方案能够使道路资源配置与出行方式结构达到最大程度的匹配，使全方式出行者平等地享有路权，有利于促进社会公平的实现。

4. 结论

Road Resource Allocation Method Based on Reasonable Travel Structure[J]. 交通技术, 2020, 09(03): 143-149. https://doi.org/10.12677/OJTT.2020.93017

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