Abstract
This paper presents one of the first discrete choice models regarding truck departure time for road freight transport using revealed preference electronic trace data. The data containing 1447 logistical routes was obtained from GPS units in trucks of a large European retailer in June 2016. Detailed historical link speed data of the road network is used to compute trip durations for non-chosen departure times for each specific recorded route. A baseline multinomial logit model is initially estimated solely based upon trip duration as an explanatory variable. Next, product type is added as an observed variable, improving the multinomial logit model fit. Finally, the model is flexibly extended to incorporate unobserved heterogeneity by nesting departure time alternatives into time blocks for morning, afternoon, and night, further improving the model fit.
Original language | English |
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Title of host publication | 2018 21st Intelligent Transportation Systems Conference (ITSC) |
Publisher | Institute of Electrical and Electronics Engineers, Inc. |
Pages | 1770-1774 |
Number of pages | 5 |
ISBN (Electronic) | 9781728103235 |
ISBN (Print) | 9781728103211 |
DOIs | |
Publication status | Published - 9 Dec 2018 |
Event | 21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018 - Maui, United States Duration: 4 Nov 2018 → 7 Nov 2018 |
Conference
Conference | 21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018 |
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Country/Territory | United States |
City | Maui |
Period | 4/11/18 → 7/11/18 |
Funding
* The data collection was made possible via a grant from the Netherlands Organisation for Scientific Research (NWO) for the ITSLOG project. ACKNOWLEDGMENT We gratefully acknowledge our colleagues at the large European retailer, a freight transport company, an ICT solution company and the municipality of Amsterdam for their collaboration and cooperation in the GPS data collection conducted for the Real-Time Traffic Data for Freight Transport (ITSLOG) Project. We would also specifically like to thank Principal Investigator Walther Ploos van Amstel at Amsterdam University of Applied Sciences for providing this unique research opportunity, as well as Rob van der Mei and Thomas Koch at Centrum Wiskunde & Informatica (CWI) for their support in accessing and handling of historical link speed data on the road network.