Abstract
The advancement of data collection technologies has brought an upsurge in GPS applications. For example, travel behaviour research has benefited from the integration of multiple sources of Global Positioning System (GPS) data. However, the effective use of such data is still impeded by the challenge in data processing. For instance, GPS data, despite providing detailed spatial movement information, do not label the starting and finishing points of a trip, especially for commercial trucks. Hence, there is a critical need to develop a trip identification method to effectively use the trajectory data provided by GPS without additional information. This paper focused on identifying trips from the raw GPS data. Specifically, a systematic method is proposed to extract trips on the basis of origin-destination (OD) pairs by using a 5-step procedure. An application was provided on estimating the performance of travel time reliability using three metrics based on the OD trips for each dedicated truck. The application showed that, in general, trucks on long-distance routes have less reliable travel times compared to trucks on short-distance routes. This paper provides an example of using GPS data, without further information, to study travel time for freight performance and similar needs of punctuality in logistics.
Highlights
Freight trucks transport goods typically from and to manufacturing plants, retail stores, and distribution centres through localities, which play an important role in serving the needs of today’s supply chain and contribute to urban safety, congestion, and pollution [1, 2]
Using the three metrics selected in this study, the travel time reliability is calculated on the route of each dedicated truck
Effective use of Global Positioning System (GPS) data offers tremendous opportunities for developing new and relevant measures related to truck performance on highways and overall traffic mobility
Summary
Freight trucks transport goods typically from and to manufacturing plants, retail stores, and distribution centres through localities, which play an important role in serving the needs of today’s supply chain and contribute to urban safety, congestion, and pollution [1, 2]. Freight trucks can operate in many modes, such as dedicated, regional, and overthe-road. Travel time reliability becomes one of the key measures of freight truck performance along intercity or interregional highway networks [3]. Knowing the truck travel time reliability requires fairly extensive data collection. The truck trips are applicable to various traffic studies and fleet management. The methodology proposed in this paper contributes to both the existing body of literature and the practices of the traffic management on performance measures of long-haul dedicated freight trucks and other transport modes in need of punctuality.
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