The agent computing paradigm is rapidly emerging as one of the powerful technologies for
the development of large-scale distributed systems to deal with the uncertainty in a dynamic …

This article presents an overview of the agent‐based modeling and simulation approach
and its recent developments in transport fields, with the purpose of discovering the …

Managing the increasing traffic is a big problem all over the world. Intelligent Transportation
System (ITS) provides solution to these problems with the help of new technologies. ITS is …

This paper presents a methodology for evaluating city logistics measures considering the
behaviour of several stakeholders associated with urban freight transport using a multi …

Decision support systems for traffic management systems have to cope with a high volume
of events continuously generated by sensors. Conventional software architectures do not …

Agent-based modeling and simulation (ABMS) methods have been applied in a spectrum of
research domains. This primer focuses on ABMS in the transportation interdisciplinary …

Although society has become increasingly dependent on the timely operation of logistics
systems, we still face many problems regarding efficiency, the environment, energy …

Fleet management systems are commonly used to coordinate mobility and delivery services
in a broad variety of domains. However, their traditional top-down control architecture …

This paper presents an agent-based approach used to design a Transportation Regulation
Support System (TRSS), that reports the network activity in real-time and thus assists the bus …

This paper presents a review on incorporating risks caused by natural and manmade
hazards in city logistics modelling. We describe the classification of risks related to city …