交通运输系统工程与信息 ›› 2012, Vol. 12 ›› Issue (4): 93-105.

• 系统工程理论与方法 • 上一篇    下一篇

货运车辆中途休息站地理分布问题研究

SRIVASTAVA Praveen1,WANG Bruce X*2,ADAMS Teresa M1   

  1. 1.威斯康辛大学麦迪逊分校 国家货物与基础设施研究与教育中心, 麦迪逊 WI-53706, 美国;2. 德州农工大学, Zachry土木工程学院, 德克萨斯州大学城 TX-77843, 美国
  • 收稿日期:2011-06-30 修回日期:2012-03-18 出版日期:2012-08-25 发布日期:2012-09-07
  • 作者简介:SRIVASTAVA Praveen (1982-), 男,研究助理,硕士.

Geo-spatial Analysis of Truck Parking Needs

SRIVASTAVA Praveen1,WANG Bruce X2,ADAMS Teresa M1   

  1. 1. National Center for Freight and Infrastructure Research and Education, University of WisconsinMadison, Madison, WI53706, USA;2. Zachry Department of Civil Engineering, Texas A&M University, College Station, TX77843, USA
  • Received:2011-06-30 Revised:2012-03-18 Online:2012-08-25 Published:2012-09-07

摘要:

货运车辆行车途中能否有安全便利的休息站,关系到联邦关于司机工作时间规定的执行及高效的车队运营.由于货运车辆的激增,中途停车站能力短缺问题日益凸显.本研究开发了一个基于互联网的地理信息系统,用于从用户大范围收集停车位短缺的地理信息.为了分析这些停车紧张点的地理分布,采用了点聚合和排名的方法来发现停车问题最严重的地区.另外,提出一种沿公路方向的单测度的聚合方法.其基本思路是,停车问题不是一个单点问题,而是一个区域性问题.缓解停车紧张,可通过增加区域性停车能力.本文发现能力紧张的区域通常在大都市的郊区,反映出很多长途司机在此停车等待第二天往市区内送货的运作规律.研究结果与来自公路巡警方面的观察结果一致.

关键词: 公路运输, 货物移动性, 货运车辆停靠调查, 基于互联网的地理信息系统, Google地图, 聚类分析, 地理分布分析

Abstract:

The availability of safe and convenient temporary parking facilities for commercial trucks is essential for both efficient truck transport and compliance with hours of service (HOS) regulations for drivers. With increasing volumes of trucks on the highways, adequate truck parking is becoming scarce. This study describes an online GIS survey instrument that is used for collecting the location information of areas with truck parking capacity shortages. To effectively analyze the sporadic and widely spread location data, this paper adopts an algorithm for location clustering and cluster ranking and proposes an alternative cluster visualization method along highways. This clustering concept recognizes that parking capacity shortages occur along highway segments. It is found that the most frequently experienced shortages are in the outskirts of major urban areas, reflecting the need of staging for next day delivery. These findings are consistent with observations by highway patrol.

Key words: highway transportation, freight mobility, truck parking survey, webbased GIS, Google maps, cluster analysis, Geo-spatial analysis

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