An Intelligent Interactive Knowledge Model for Decision Support in Real Time Traffic Management

This paper proposes the use of advanced knowledge models to support real time decision for management problems as an adequate response to the current needs and technology. The new conditions for human operation created by the telematics technology are discussed and a general architecture using knowledge modelling techniques is proposed. Then, the application of the approach to support real time management of the private traffic in the city of Turin is described

Coordinating open fleets. A taxi assignment example

[EN] Nowadays, vehicles of modern fleets are endowed with advanced devices that allow the operators of a control center to have global knowledge about fleet status, including existing incidents. Fleet management systems support real-time decision making at the control center so as to maximize fleet performance. In this paper, setting out from our experience in dynamic coordination of fleet management systems, we focus on fleets that are open, dynamic and highly autonomous. Furthermore, we propose how to cope with the scalability problem as the number of vehicles grows. We present our proposed architecture for open fleet management systems and use the case of taxi services as example of our approach. We carried out some experiments, which showed our proposed algorithm outperform the most common assignment method both in waiting times of clients and taxi costs.Work partially supported by Spanish Government through the projects iHAS (grant TIN2012-36586-C03 MINECO) and SURF (grant TIN2015-65515-C4-X-R MINECO/FEDER, UE), the Autonomous Region of Madrid through grant S2013/ICE-3019 ("MOSI-AGIL-CM", co-funded by EU Structural Funds FSE and FEDER) and URJC-Santander (30VCPIGI15).Billhardt, H.; Fernández, A.; Lujak, M.; Ossowski, S.; Julian, V.; De Paz, JF.; Hernandez, JZ. (2017). Coordinating open fleets. A taxi assignment example. AI Communications. 30(1):37-52. https://doi.org/10.3233/AIC-170722S375230

Decision Support for Traffic Management Based on Organisational and Communicative Multiagent Abstractions

A multiagent approach to the construction of decision support systems (DSS) has become increasingly popular in the transportation sector. This approach reduces design complexity, while adequately supporting a dialogue-based stance on decision support interactions. This paper outlines a design method for the construction of agent-based DSS. Setting out from an organizational and communicative model of decision support environments, the authors present an abstract architecture for multiagent DSS. The authors demonstrate their approach by applying the abstract architecture to design prototype DSS for road traffic management and bus fleet management scenarios