An emergency vehicles allocation model for major industrial disasters

One of the main issues in the event of a major industrial disaster (fire, explosion or toxic gas dispersion) is to efficacy manage emergencies by considering both medical and logistics issues. From a logistics point of view the purpose of this work is to correctly address critical patients from the emergency site to the most suitable hospitals. A Mixed Integer Programming (MIP) Model is proposed, able to determine the optimal number and allocation of emergency vehicles involved in relief operations, in order to maximize the number of successfully treated injured patients. Moreover, a vehicles reallocation strategy has been developed which takes into account the evolution of the patients health conditions. Alternative scenarios have been tested considering a dynamic version of the Emergency Vehicles Allocation Problem, in which patient health conditions evolves during the rescue process. A company located in Italy has been considered as case-study in order to evaluate the performance of the proposed methodology

Cooperative Automation Research: CARMA Proof-of-Concept TSMO Use Case Testing: Traffic Incident Management Concept of Operations

DTFH6116D00030L (TO 19-360)Cooperative driving automation (CDA) aims to improve the safety, traffic throughput, and energy efficiency of the transportation network by allowing vehicles and infrastructure to work together to coordinate movement. The CARMA Ecosystem is utilized to research CDA and leverage emerging capabilities in automation and cooperation to advance transportation systems management and operations (TSMO) strategies. The objective of this project is to develop the CARMA Ecosystem to enhance infrastructure performance, improve network efficiency, strategically reduce arterial traffic congestion, and enable CDA participants with further capabilities to interact with road infrastructure. The concept of operations (ConOps) discussed in this report focuses on TSMO traffic incident management (TIM) use cases where traffic and incident response vehicles are actively managed by CARMA tools through signal optimization and signal coordination. The strategies in this ConOps are expected to help reduce travel time delay caused by traffic signals, improve safety, and reduce incident response travel time for incident response vehicles. The proposed approach for the use cases has two components. First, local traffic signal optimization using CARMA Streets to improve safety and reduce delay for one or more incident response vehicle. Second, corridor-coordinated TSMO TIM using CARMA Cloud to optimize signal timing in a corridor