ArcGIS Tool Development to Analyze Freight Corridors Using Truck GPS Data

The scope of this study is to extend on the works of Boile and Golias (2008), Johnson (2013), and Flaskou (2016) and develop/estimate/calculate FPMs that can contribute to the effective evaluation of freight transportation systems. The contributions of the proposed research included following: 1) Apply link based and trip based algorithm, developed by Dr. Maxim Dulebenets, Dr. Mihalis Golias, Maria Flasko, Dr. Sabyasachee Mishra, using Python programming language to create ArcGIS toolboxes with added option to process GPS data by time of day, in order to estimate FPMs by time of day for freight corridors of transportation network and truck trips by time of day between traffic analysis zones; and 2) Apply truck parking, congested lane miles and hours of delay methodology developed by Khademul Haque, Dr. Mihalis Golias, Dr. Sabyasachee Mishra, to develop algorithms and ArcGIS toolboxes, using Python programming language, in order to estimate hourly truck volumes by time of day on and in the vicinity of truck parking areas, hours of delay and levels of congested lane miles for major truck freight corridors