In emergency conditions, with dangerous events with effects delayed in the time, the transport supply requires configurations that allow the reduction of the negative effects on people. Therefore, it is necessary to define suitable design methodologies for risk reduction. In the context of the wider problem of the transport demand managing in all its components, this paper reports the problem for the road network design in transport systems. The problem analysed considers the design of the link directions and the traffic light regulation at the junction in the road networks for users and emergency vehicles. The paper: reports a state of the art of the problem; introduces a general framework; formulates the problem in terms of aggregate mathematical models. For further information on the topics reported, the literature cited can be considered.

RISK REDUCTION IN TRANSPORT SYSTEM IN EMERGENCY CONDITIONS: A FRAMEWORK FOR NETWORK DESIGN PROBLEMS

Vitetta A.
2021-01-01

Abstract

In emergency conditions, with dangerous events with effects delayed in the time, the transport supply requires configurations that allow the reduction of the negative effects on people. Therefore, it is necessary to define suitable design methodologies for risk reduction. In the context of the wider problem of the transport demand managing in all its components, this paper reports the problem for the road network design in transport systems. The problem analysed considers the design of the link directions and the traffic light regulation at the junction in the road networks for users and emergency vehicles. The paper: reports a state of the art of the problem; introduces a general framework; formulates the problem in terms of aggregate mathematical models. For further information on the topics reported, the literature cited can be considered.
2021
9781784664435
Emergency condition
Network design problem
Risk reduction
Vehicle routing problem
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12318/118782
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