An adaptive solution to dynamic transport optimization

Dorer, Klaus; Calisti, Monique

doi:10.1145/1082473.1082803

Cited by 71 publications

(35 citation statements)

References 4 publications

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“…Several approaches have been presented in recent years to this problem, some leading to commercially successful, operational systems. The LS/AT system, presented in Dorer and Calisti (2005) is one of the most well-known systems that uses agent techniques (mostly constraint-reasoning type techniques) for dynamic transport optimization. The Magenta system (Skobelev, Glaschenko, Grachev, & Inozemstev, 2007) is another such system, which explores the use of swarm-based optimization techniques in this setting.…”

Section: Discussionmentioning

confidence: 99%

A multi-agent platform for auction-based allocation of loads in transportation logistics

Robu

Noot

Poutré

et al. 2011

Expert Systems with Applications

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a b s t r a c tThis paper describes an agent-based platform for the allocation of loads in distributed transportation logistics, developed as a collaboration between CWI, Dutch National Center for Mathematics and Computer Science, Amsterdam and Vos Logistics Organizing, Nijmegen, The Netherlands.The platform follows a real business scenario proposed by Vos, and it involves a set of agents bidding for transportation loads to be distributed from a central depot in the Netherlands to different locations across Germany. The platform supports both human agents (i.e. transportation planners), who can bid through specialized planning and bidding interfaces, as well as automated, software agents. We exemplify how the proposed platform can be used to test both the bidding behaviour of human logistics planners, as well as the performance of automated auction bidding strategies, developed for such settings.The paper first introduces the business problem setting and then describes the architecture and main characteristics of our auction platform. We conclude with a preliminary discussion of our experience from a human bidding experiment, involving Vos planners competing for orders both against each other and against some (simple) automated strategies.

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Section: Discussionmentioning

confidence: 99%

A multi-agent platform for auction-based allocation of loads in transportation logistics

Robu

Noot

Poutré

et al. 2011

Expert Systems with Applications

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“…These aspects are for example modelling traffic jams [3], taking into consideration different kinds of freight and construction of the transport unit (composed of trucks and trailers adjusted to the given needs [2]) as well as a problem decentralisation [9].…”

Section: State Of the Artmentioning

confidence: 99%

Learning in Cooperating Agents Environment as a Method of Solving Transport Problems and Limiting the Effects of Crisis Situations

Koźlak

2007

Computational Science – ICCS 2007

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Abstract. The realising of transport requests plays an important role for companies regarding cost. For this reason the construction of an optimal and effective transport planning and scheduling, offering the best use of transport means is hugely important. One of the researched transport problems at present is PDPTW. In this work, the PDPTW problem will be extended by adding changeable and uncertain travel times between given locations, which will then be examined and learnt by the dispatching company system. The changeable travel times are the results of traffic jams forming and propagating. The applied multi-agent approach allows us to consider the problem on the level of a whole company and on the local level analysed by a particular vehicle. The other aspects which are taken into consideration are traffic patterns, whose goal it is to facilitate the optimal routes for the given traffic patterns. These patterns contain the information about the dependencies between the traffic state on the particular routes.

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“…A recent development in multi-agent systems research is their application in the logistics of the transportation sector, see [2], [3].…”

Section: A Agent Technologymentioning

confidence: 99%

Analysis of Mobile Agents considering the Fan Out - Mobile Agents for Autonomous Logistics

Becker¹,

Sayyed²,

Wenning³

et al. 2006

2006 IEEE International Conference on Service Operations and Logistics, and Informatics

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Abstract-The current trends and recent changes in logistics lead to new, complex and partially conflicting requirements for logistic planning and control systems. Due to the distributed nature of logistics the usage of agent technology is promising. Due to the mobile nature of logistics the usage of mobile agent technology is promising as well. Scenarios of usage of mobile agents in logistics are presented, a notation for those scenarios is defined and it is shown analytically in which cases the usage of mobile agent is superior to conventional communication. The main variable under study is the fan out, which is the number of partners a mobile agent needs to communicate with.

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An adaptive solution to dynamic transport optimization

Cited by 71 publications

References 4 publications

A multi-agent platform for auction-based allocation of loads in transportation logistics

A multi-agent platform for auction-based allocation of loads in transportation logistics

Learning in Cooperating Agents Environment as a Method of Solving Transport Problems and Limiting the Effects of Crisis Situations

Analysis of Mobile Agents considering the Fan Out - Mobile Agents for Autonomous Logistics

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