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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.

Geo-spatial Analysis of Truck Parking Needs

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.