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Proceedings of the 1st International Workshop on Agent-Based, Complex Automated Negotiations (ACAN'09)

Proceedings of the 1st International Workshop on Agent-Based, Complex Automated Negotiations (ACAN'09)

The increase in the amount of traffic caused by economic growth in recent years is taking its toll on the infrastructure and the environment. The transportation sector is faced with a suboptimum in haulage because trucks drive empty 40-60% of the time on the average. This is caused by the large number of planning variables, the restrictions and dynamics of external factors, market diffusion and a relatively low level of automation. The constantly advancing ICT technology can reduce this suboptimum. The aim of DEAL has been to speed up negotiations between different parties by using representation through software agents, increasing the number of examined alternatives as a result. The use of software agents also allow for an unlimited number of stakeholders to take part in negotiations, generating an overall optimal solution. With a higher level of detail of the information used in negotiations, such as specific location and remaining driving time, a better deal can be offered. Reducing the percentage of empty trucks has a significant effect on the environment as well. The amount of goods being moved remains the same, but the necessary mileage is strongly reduced. This leads to less CO2 emission, which contributes to the realization of the Kyoto treaty commitments. A side effect of the reduction in transportation movements is the improvement of mobility as a whole. DEAL is a research project depending on the collaboration between commercial and research parties. Within the present consortium, wide experience is present on both the technological aspects and the market in focus. The ambition of the consortium is to apply the attained knowledge on a broad scale in products destined for the national and international logistic services. The consortium consists of Vos Logistics, Post-Kogeko, Carrierweb, Erasmus University Rotterdam, Free University of Amsterdam, Radboud university Nijmegen, Centre for Mathematics and Computer Science and Almende.

The increase in the amount of traffic caused by economic growth in recent years is taking its toll on the infrastructure and the environment. The transportation sector is faced with a suboptimum in haulage because trucks drive empty 40-60% of the time on the average. This is caused by the large number of planning variables, the restrictions and dynamics of external factors, market diffusion and a relatively low level of automation. The constantly advancing ICT technology can reduce this suboptimum. The aim of DEAL has been to speed up negotiations between different parties by using representation through software agents, increasing the number of examined alternatives as a result. The use of software agents also allow for an unlimited number of stakeholders to take part in negotiations, generating an overall optimal solution. With a higher level of detail of the information used in negotiations, such as specific location and remaining driving time, a better deal can be offered. Reducing the percentage of empty trucks has a significant effect on the environment as well. The amount of goods being moved remains the same, but the necessary mileage is strongly reduced. This leads to less CO2 emission, which contributes to the realization of the Kyoto treaty commitments. A side effect of the reduction in transportation movements is the improvement of mobility as a whole. DEAL is a research project depending on the collaboration between commercial and research parties. Within the present consortium, wide experience is present on both the technological aspects and the market in focus. The ambition of the consortium is to apply the attained knowledge on a broad scale in products destined for the national and international logistic services. The consortium consists of Vos Logistics, Post-Kogeko, Carrierweb, Erasmus University Rotterdam, Free University of Amsterdam, Radboud university Nijmegen, Centre for Mathematics and Computer Science and Almende.