Titlebook: Applications of Agent Technology in Traffic and Transportation; Franziska Klügl,Ana Bazzan,Sascha Ossowski Conference proceedings 2005 Bir

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Reducing the Effects of the Braess Paradox with Information Manipulation,he traffic control center to acquire and process data regarding the occupancy of the available roads and compute the optimal distribution (from the point of view of the whole system). With this information, manipulated information can be passed to the road users. The interesting point is what happen

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Computation of Location Choice of Secondary Activities in Transportation Todels with Cooperative Ag in reasonable computing times b) it can be easily extended to integrate further empirical evidence about travel behavior and c) it provides a useful framework to study the propagation of any newly available information. The paper emphasizes the computational efficiency of the approach for real-worl

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Multi Agent System Simulation for the Generation of Individual Activity Programs,ng..The implementation is based on empirical findings where possible and heuristics as well as stochastic assignments where necessary. Only when implementing theoretical concepts, problems related to complex behaviour models, like available data, data formats, parameter calibration, simulation speed

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A Message-Based Framework for Real-World Mobility Simulations,nts, memorize them in some appropriate way, and possibly generate revised strategies. These strategies are sent to the simulation of the physical system immediately, so that the representation of the agent in the physical system will switch to the new strategy right away..In addition, the same messa

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Market Efficiency Models and Tests,ssessing this work will be presented and systematically applied. We are mainly adopting a logistical perspective, thus focusing on freight transportation. However, when relevant, work of traffic and transport of people will be considered. A general conclusion from our study is that agent-based appro

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Empirical Methods in the BTU-Projects. While many of the existing research frameworks have been focusing on reaching near-optimal solutions, the central theme of our work is the optimization of real-world sized problems in near real time. In order to describe our approach and analyse its performance, we introduce a real case scenario

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Value of Information in Supervisory Controlhe meaning of that data, so as to take decisions based on understanding. To this end, a distributed approach to the construction of DSS has become popular: decision-support agents are responsible for parts of the decision-making process in a (semi-)autonomous (individually) rational fashion. However

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Jagdish C. Agrawal,Pranas Zunde. The work targets the representation and manipulation of core user, preferences, and context models which facilitate highly-customized and adaptable agents playing key roles in an agent-based Advanced Traveler Information System (ATIS). This ATIS finds and fuses information from multiple sources on