Abstract
The multiagent approach to modelling, traditionally dedicated for distributed systems, can be applied on any platform where there are more processes or control threads. The world of surface transport is a typical example of such a situation where high numbers of dynamic entities (agents) interacting with each other represent a complex problem to solve, analyse and visualise. The main focus of this paper is on functional description of the traffic control problem at the rail-road intersection. Unlike conventional approaches, this model assumes usage of modern (infrastructure-to-vehicle, vehicle-to-vehicle) communication technologies as an essential base of cooperative intelligent transportation systems. The authors use the development toolkit NetLogo, explaining step-by-step the key programming details, to get a comprehensive overview of the operation of the entire system through simple definitions of a number of simple cooperating agents. The introduced model is implementation free and shows newly offered functionalities on the principal level, while a minimum theory of collective intelligence hidden in the background is needed.
Highlights
Transportation plays an important role in society and makes a key contribution to the economy
We believe that agent-based representations are easier to understand than mathematical representations of the same phenomenon. This is because agent-based models are constructed out of individual objects and simple rules for their movement of behaviour, as opposed to equational models that are constructed from mathematical symbols [25]. In this context we introduced development of a novel traffic model at rail-road intersection that takes advantages of some modern communication technologies
To keep the code modular and the model as simple and understandable as possible, we have introduced several simplifications mentioned above
Summary
Transportation plays an important role in society and makes a key contribution to the economy. We are at the beginning of the transport revolution with radical new mobility technologies that will create future road transport, significantly different from the current one. Collisions between road and rail vehicles have severe consequences such as high levels of injuries and fatalities, and significant financial losses [2]; they are a primary concern for railway authorities and the public at large. Slowly growing attention has been given to the development of the generation of hybrid safety systems dedicated to LXs [2]. They are based on Cooperative Intelligent Transportation Systems (C-ITS), that facilitate cooperative, connected and automated mobility [3].
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