Abstract
Scheduling and Routing in freight transport are usually the end products of an optimization process. However, the results may differ due to the heterogeneity of rules in different transport markets. Since the understanding of these decision rules is important for disaggregate freight modeling, this paper investigates the development of an effective decision tree method for extracting them from an extensive freight transport data. We applied the method to model departure time and type of tours in freight transport of agricultural products. Having these two models together help us understand the whole anatomy of the freight activities for the selected transport segment. The models highlight the characteristics of time-of-day freight activities for this sector and indicate the importance of spatial and temporal characteristics in capturing the distinctions of the type of tours.
| Original language | English |
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| Title of host publication | 2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020 |
| Publisher | IEEE |
| Number of pages | 7 |
| ISBN (Electronic) | 978-1-7281-4149-7 |
| ISBN (Print) | 978-1-7281-4150-3 |
| DOIs | |
| Publication status | Published - 2020 |
| Event | The 23rd IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2020) - Rhodes, Greece Duration: 20 Sept 2020 → 23 Sept 2020 https://www.ieee-itsc2020.org/ |
Conference
| Conference | The 23rd IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2020) |
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| Country/Territory | Greece |
| City | Rhodes |
| Period | 20/09/20 → 23/09/20 |
| Internet address |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.