Nikolaos Servos
PhD Student
Robert Bosch GmbH

Travel time prediction for multimodal freight transports using machine learning



Predicting an accurate travel time for freight transports provides a significant value to the supply chain participants and their logistics quality. The basic requirement is a continues monitoring of freight transports, e.g., using mobile sensors. Despite the superior capabilities of Machine Learning (ML) methods to deal better with non-linear relationships, only a minority of recent publications has dealt with ML for travel time prediction in freight transports. Based on the literature, we have selected Extra Trees, AdaBoost and SVR as these methods can deal with a low volume of data and a high complexity at the same time. Using different feature combination, derived from the data, several models have been build. The models have been evaluated using real world data of multimodal container transports from Bremen, Germany, to Vance, USA and compared to historical approaches.

Host city and venue

Vienna (Wien) is the federal capital and largest city of Austria, and one of the nine states of Austria. Vienna is Austria's primate city, with a population of about 1.9 million (2.6 million within the metropolitan area, nearly one third of Austria's population), and its cultural, economic, and political centre. It is the 7th-largest city by population within city limits in the European Union.  Read more...

Latest news

More information about final program and schedule during MHCL 2019 conference can be found ...
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Agenda

MHCL 2019 conference Day 1


Wednesday - September 18th, 2019

  • 13.00 – 14.00 Registration of participants and welcome reception
    in front of lecture hall GM 2 Radinger, 1st floor
  • 14.00 – 14.15 Opening Session
    lecture hall GM 2 Radinger, 1st floor
  • 14.15 – 15.35 Plenary Session I, 2 invited lectures
    lecture hall GM 2 Radinger, 1st floor
  • 15.35 – 16.00 Coffee break
    GM 8/9 Motorensymposium, 2nd floor
  • 16.00 – 18.00 Plenary Session II, 3 invited lectures
    lecture hall GM 2 Radinger, 1st floor
  • 18.00 – 20.00 Welcome party
    GM 8/9 Motorensymposium, 2nd floor

MHCL 2019 conference Day 2

Thursday - September 19th, 2019
  • 08.50 – 09.20 Late registration
    in front of lecture hall GM 2 Radinger, 1st floor
  • 09.20 – 10.30 Session A1, 4 papers
    lecture hall GM 2 Radinger, 1st floor
  • 10.30 – 11.00 Coffee break
    GM 8/9 Motorensymposium, 2nd floor
  • 11.00 – 13.00 Session B1 – Parallel Session, 7 papers
    lecture hall GM 4 Knoller, 2nd floor
  • 11.00 – 13.00 Session C1 – Parallel Session, 7 papers
    lecture hall GM 2 Radinger, 1st floor
  • 13.00 – 14.00 Lunch
    GM 8/9 Motorensymposium, 2nd floor
  • 14.00 – 16.00 Session B2 – Parallel Session, 7 papers
    lecture hall GM 2 Radinger, 1st floor
  • 14.00 – 16.00 Session C2 – Parallel Session, 7 papers
    lecture hall GM 4 Knoller, 2nd floor
  • 16.00 – 16.30 Coffee break
    GM 8/9 Motorensymposium, 2nd floor
  • 16.30 – 18.00 Session C3, 5 papers
    lecture hall GM 2 Radinger, 1st floor
  • 19.45 – 22.00 Dinner, restaurant “Augustinerkeller“

MHCL 2019 conference Day 3


Friday - September 20th, 2019
  • 09.20 – 10.50 Session A2, 5 papers
    lecture hall GM 2 Radinger, 1st floor
  • 10.50 – 11.20 Coffee break
    GM 8/9 Motorensymposium, 2nd floor
  • 11.20 – 13.00 Session A3, 6 papers
    lecture hall GM 2 Radinger, 1st floor
  • 13.00 – 14.00 Lunch
    GM 8/9 Motorensymposium, 2nd floor
  • 14.00 – 15.00 Guided laboratory tours
  • 15.00 – 15.30 Closing Session
    lecture hall GM 2 Radinger, 1st floor