TY - GEN
T1 - Travel behaviour applied in freight transportation using intelligent products
AU - Kola, Dionysios
AU - Giannikas, Vaggelis
AU - McFarlane, Duncan
PY - 2012/12/1
Y1 - 2012/12/1
N2 - The route planning problem for an order in freight transportation involves the selection of the best route for its transportation given a set of options that the network can offer. In its adaptive (or dynamic) version, the problem deals with the planning of a new route for an order while it is actually in transit typically because part or all of its pre-selected route is blocked or disrupted. In the intelligent product approach we are proposing, an order would be capable of identifying and evaluating such new routes in an automated manner and choosing the most preferable one without the intervention of humans. Because such approaches seek to mirror (and then automate) human decision making, in this paper we seek to identify new ways for dynamic route planning in industrial logistics inspired by the way people make similar decisions about their journey when they travel in multi-modal networks. We propose a new simulation game as a methodological tool for capturing their travel behaviour and we use it in this study. The results show that a simulation game can be used for capturing strategies and tactics of travellers and that intelligent products can provide a proper platform for the usage of such strategies in freight logistics.
AB - The route planning problem for an order in freight transportation involves the selection of the best route for its transportation given a set of options that the network can offer. In its adaptive (or dynamic) version, the problem deals with the planning of a new route for an order while it is actually in transit typically because part or all of its pre-selected route is blocked or disrupted. In the intelligent product approach we are proposing, an order would be capable of identifying and evaluating such new routes in an automated manner and choosing the most preferable one without the intervention of humans. Because such approaches seek to mirror (and then automate) human decision making, in this paper we seek to identify new ways for dynamic route planning in industrial logistics inspired by the way people make similar decisions about their journey when they travel in multi-modal networks. We propose a new simulation game as a methodological tool for capturing their travel behaviour and we use it in this study. The results show that a simulation game can be used for capturing strategies and tactics of travellers and that intelligent products can provide a proper platform for the usage of such strategies in freight logistics.
UR - http://www.scopus.com/inward/record.url?scp=84874125887&partnerID=8YFLogxK
U2 - 10.1109/CCCA.2012.6417890
DO - 10.1109/CCCA.2012.6417890
M3 - Chapter in a published conference proceeding
AN - SCOPUS:84874125887
SN - 9781467346955
T3 - 2nd International Conference on Communications Computing and Control Applications, CCCA 2012
BT - 2nd International Conference on Communications Computing and Control Applications, CCCA 2012
T2 - 2nd International Conference on Communications Computing and Control Applications, CCCA 2012
Y2 - 6 December 2012 through 8 December 2012
ER -