城市路内停车设置规模非线性优化模型及其算法

梅振宇; 陈峻; 王炜

城市路内停车设置规模非线性优化模型及其算法

梅振宇^{1, 2,},
陈峻²,
王炜²

1.
浙江大学建筑工程学院, 浙江杭州 310027
2.
东南大学交通学院，江苏南京 2l0096

基金项目:

中国博士后科学基金项目 20060401046

国家自然科学基金项目 50378016

详细信息

作者简介:
梅振宇(1979-), 男, 江苏常州人, 浙江大学博士后, 从事交通运输规划与管理研究

中图分类号: U491.7
计量
- 文章访问数: 249
- HTML全文浏览量: 98
- PDF下载量: 508
- 被引次数: 0
出版历程
- 收稿日期: 2006-10-18
- 刊出日期: 2007-04-25

Nonlinear optimization model and algorithm of urban curb parking setting scale

Mei Zhen-yu^{1, 2
,},
Chen Jun²,
Wang Wei²

1.
School of Civil Engineering, Zhejiang University, Hangzhou 310027, Zhejiang, China
2.
School of Transportation, Southeast University, Nanjing 210096, Jiangsu, China

More Information

Author Bio:
Mei Zhen-yu(1979-), male, PhD, +86-571-87953210, meizhenyu2002@163.com

摘要

摘要: 为了达到路内与路外停车的合理匹配, 减小停车成本, 从路内停车带与路外停车场匹配关系入手, 分析了车辆停放者选择停车场行为, 分别量化了路内车辆停放者和路段车辆出行者的社会成本, 综合考虑路内停车对道路交通流延误的影响、绕行距离、收费差额以及个体时间效益的基础上, 提出了一种基于停车成本整体最小的路内停车带设置规模优化模型, 设计了求解模型的内点法。实例计算结果表明, 与设置路内停车带之前相比, 优化后停车平均绕行距离减少了63.0%, 停车综合成本下降了37.3%, 可以看出路内停车带规模模型能够优化路内与路外停车之间匹配关系, 使停车系统综合成本最小。
- 交通规划 /
- 路内停车 /
- 匹配关系 /
- 非线形优化 /
- 内点法
Abstract: In order to form the proper matching relationship between curb parking and off-street parking, decrease parking cost, the matching relationship was analyzed, the parking choice behaviors of drivers were studied, the social costs of curb parking and road vehicle travelling were analyzed separately, the effect of curb parking on traffic delay, the circuitous distance, charge balance and individual time benefit of parking were considered synthetically, an optimization model of urban curb parking setting scale based on minimizing parking cost was put forward, and an inner-spot algorithm of the model was designed.Calculation result shows that the average parking circuitous distance of travelling vehicle and whole parking cost are decreased by 63.0% and 37.3% respectively.It is obvious that the optimization model can optimize the matching relationship between curb parking and off-street parking, and minimize parking system integrated cost.
- traffic planning /
- curb parking /
- matching relationship /
- nonlinear optimization /
- inner-spot algorithm

HTML全文

图 1 停车区域

Figure 1. Parking region

下载: 全尺寸图片幻灯片

图 2 系统综合成本与路内停车规模关系

Figure 2. Relationship between f(P) and P

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图 3 内点法计算流程

Figure 3. Inner-spot algorithm flow

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图 4 路内停车带规模计算实例

Figure 4. Computation example of curb parking scale

下载: 全尺寸图片幻灯片

表 1 相关参数

Table 1. Correlative parameters

参数	λ/(pcu·h^-1)	u/(pcu·h^-1)	A/(元·h^-1)	m_a/(人·pcu^-1)	f₁(t)/元	$\bar{l} / m$	$\bar{v}_{1} / (k m \cdot h^{- 1})$
取值	7.2	0.47	1.5	1.5	2.4	200	30
参数	$\bar{v}_{2} / (k m \cdot h^{- 1})$	t₁/s	W/m	Q_p/pcu	P_d/个	P_max/个
取值	4.5	30	15	800	90	54

下载: 导出CSV

表 2 计算结果

Table 2. Computation result

参数	路内停车带拒停车辆数/(pcu·h^-1)	平均绕行距离/m	D/h	设置路内停车带长度/m	最佳路内停车泊位规模/个
结果	0.092	74	5.2	180	30

下载: 导出CSV

参考文献(10)

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