Understanding Behavioral Patterns in Truck Co-driving Networks

  • Gerrit Jan de BruinEmail author
  • Cor J. Veenman
  • H. Jaap van den Herik
  • Frank W. Takes
Conference paper
Part of the Studies in Computational Intelligence book series (SCI, volume 813)


This paper examines the co-driving behavior of truck drivers using network analysis. From a unique spatiotemporal dataset encompassing more than 10 million measurements of trucks passing 17 different highway locations in the Netherlands, we extract a so-called co-driving network. In this network, nodes are truck drivers and edges represent pairs of trucks that are systematically driving together. The obtained co-driving network structure has various properties common to real-world networks, such as a dominant giant component and a power law degree distribution. Moreover, network distance metrics and community detection reveal that the network has a highly modular structure. We furthermore propose a method for understanding the network community structure through attribute assortativity. Results indicate that co-driving links are mostly established based on geographical aspects: truck drivers from the same country or the same region in the Netherlands are more inclined to drive together. The resulting improved understanding of co-driving behavior has important implications for society and the environment, as trucks coordinating their driving behavior together help reduce traffic congestion and optimize fuel usage.


Co-driving networks Infrastructure networks Network analysis Community detection Assortativity 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Gerrit Jan de Bruin
    • 1
    • 2
    • 3
    Email author
  • Cor J. Veenman
    • 1
    • 4
  • H. Jaap van den Herik
    • 2
  • Frank W. Takes
    • 1
  1. 1.Leiden Institute of Advanced Computer Science (LIACS)Leiden UniversityLeidenThe Netherlands
  2. 2.Leiden Centre of Data Science (LCDS)Leiden UniversityLeidenThe Netherlands
  3. 3.Human Environment and Transport Inspectorate (ILT)Netherlands Ministry of Infrastructure and Water ManagementThe HagueThe Netherlands
  4. 4.Data Science DepartmentTNOThe HagueThe Netherlands

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