01516602

Component

Network link travel time estimation for commercial vehicles is essential to freight operations and planning. This paper studies link travel time estimation using sparse truck global positioning system (GPS) data. First, the authors present a naïve method for truck speed analysis on individual links. The naïve method can compute the average travel speed and variation on each link individually as input for further travel time analysis. Second, to address the issue of ignoring those truck trips with large intervals covering multiple links, the authors present a network mapping method that maps the link performances using the itinerary travel times. A case study is conducted using the San Antonio corridor network, a major freight corridor. In addition, the authors further test their methods with simulation data partially on I-94 and I-894, a highway corridor in the Milwaukee, Wisconsin area. The test results indicate that the proposed network mapping method appears practical for application to the link performance analysis on freight corridors for truck transport.

This paper was sponsored by TRB committee AT015(2) Paper reviews - Modeling.

01503729

14-4193

English

17p

2014

Transportation Research Board 93rd Annual Meeting

Digital/other

Figures; Maps; References; Tables

Case studies; Commercial vehicles; Freight traffic; Global Positioning System; Mapping; Network links; Simulation; Transportation corridors; Travel time; Trucking

Milwaukee (Wisconsin); San Antonio (Texas)

Freight Transportation; Highways; Planning and Forecasting; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2014 Paper #14-4193

TRIS, TRB, ATRI

Jan 27 2014 3:27PM