Identifying intercity freight trip ends of heavy trucks from GPS data

TL;DR

This paper presents a data-driven method for identifying intercity freight trip ends of heavy trucks using GPS data, improving accuracy over empirical threshold-based methods and enabling better transportation planning.

Contribution

A novel trip end identification approach that uses data analysis and GIS data to accurately determine freight trip origins and destinations from GPS data.

Findings

Effective identification of truck stops based on speed distribution

Classification of stops using dwell time thresholds

Integration of POI data to validate trip ends

Abstract

The intercity freight trips of heavy trucks are important data for transportation system planning and urban agglomeration management. In recent decades, the extraction of freight trips from GPS data has gradually become the main alternative to traditional surveys. Identifying the trip ends (origin and destination, OD) is the first task in trip extraction. In previous trip end identification methods, some key parameters, such as speed and time thresholds, have mostly been defined on the basis of empirical knowledge, which inevitably lacks universality. Here, we propose a data-driven trip end identification method. First, we define a speed threshold by analyzing the speed distribution of heavy trucks and identify all truck stops from raw GPS data. Second, we define minimum and maximum time thresholds by analyzing the distribution of the dwell times of heavy trucks at stop location and classify truck stops into three types based on these time thresholds. Third, we use highway network GIS data and freight-related points-of-interest (POIs) data to identify valid trip ends from among the three types of truck stops. In this step, we detect POI boundaries to determine whether a heavy truck is stopping at a freight-related location. We further analyze the spatiotemporal characteristics of intercity freight trips of heavy trucks and discuss their potential applications in practice.