A Framework for Enhancing the Operational Phase of Traffic Management Plans

Abstract

Road traffic emergencies are dangerous and unexpected situations that require immediate actions by the authorities. These actions involve to attend to the people who have been affected by the emergency and to minimize its consequences. A Traffic Management Plan (TMP) is a set of pre-defined measures and actions designed to produce an effective and efficient use of available resources in order to deal with a specific road incident. The operational phase of a TMP involves the coordination of several independent agencies (road managers, traffic police, firemen...). These agencies must provide the resources required by the TMP in the deployment of the measures and actions. In this paper, a new framework to support the TMP operational phase is presented. This framework models each agency as an intelligent agent and it uses a reverse combinatorial distributed auction as the core component of a negotiation process. The goal of this negotiation process is to obtain a common agreement on the best possible allocation of resources taking into account the role, competencies and interest of the involved agencies. The framework has been implemented in a real scenario with real data. The tests developed have demonstrated that the system is able to manage the resources in terms of the execution time and the quality of the provided solutions.

Collaborative Decision-Making Method of Emergency Response for Highway Incidents

“…A large number of researchers have tried to use various methods to formulate emergency-decision-making procedures to improve the safety of road traffic: Khan conducted research on sustainable traffic safety in Hong Kong based on the Bayesian network method, in which accident risk factors are introduced into the analysis of real accident reports [7]; Ding proposed a zero-sum game method containing Pythagorean fuzzy uncertain linguistic variables, which improved the fuzziness of decision makers' evaluation data in emergency situations for road emergency decision making [8]; J. Pérez González has developed an analytical network platform to conduct time-space distribution statistics and display of the accident distribution information, thus providing information assistance and support for the decision making of emergency personnel [9]; Wang's interval dynamic reference point method based on prospect theory introduces psychological factors into the consideration of emergency decision making, effectively improving the rationality of emergency decision making [10]. The above research has made unique contributions to the field of emergency decision making, but there are few studies on the emergency disposal processes of road accident scenes, especially regarding the team cooperation of various departments and the emergency disposal process, which need to be further improved [11][12][13].…”