In the road traffic safety domain there is a need for using proactive (non-crash-based) indicators, known as performance indicators (SPIs). Traffic speed based on big data (floating car [FCD]) could help develop network-wide SPIs, but related knowledge and experience are insufficient so far. The authors attempted to fill this gap by nationwide Italian FCD speed-related SPIs validating their rel...

We present a novel framework for modeling traffic congestion events over road networks. Using multi-modal data by combining count from sensors with police reports that report incidents, we aim to capture two types of triggering effect events. Current at one location may cause future the network, and incidents spread congestion. To model non-homogeneous temporal dependence event on past, use att...

The National Road Safety Strategy 2011-2020 outlines plans to reduce the burden of road trauma via improvements and interventions relating to safe roads, safe speeds, safe vehicles, and safe people. It also highlights that a key aspect in achieving these goals is the availability of comprehensive data on the issue. The use of data is essential so that more in-depth epidemiologic studies of risk...

BACKGROUND Natural and manmade disasters are creating increasingly complex response challenges. The current U.S. emergency response model relies heavily upon the availability and expertise of highly trained public safety agencies. Too often, this leads the public and our leaders to assume that professional emergency medical care will be immediately available. Unfortunately, there are often dela...

Mass casualty incidents (MCI) are highly dynamic situations in which limited available resources need to be quickly and efficiently allocated. In this paper, we suggest considerable extensions to an allocation method that we presented in earlier work. The extensions address two major challenges: First, the need to balance real-world resource usage and second, the need to adapt to changing situa...

This paper investigates the integration of traffic information (TI) into the routing in the presence of moving obstacles. When traffic accidents occur, the incidents could generate different kinds of hazards (e.g., toxic plumes), which make certain parts of the road network inaccessible. On the other hand, the first responders, who are responsible for management of the traffic incidents, need t...

The evolution of incident detection systems has resulted in California Algorithm #7. California Algorithm #7 is typical of existing systems in that it does not exploit a dynamic model of traffic behavior. In addition, raw presence detector data, in the form of occupancy, is used directly. In this report, California Algorithm #7 is shown to exhibit poor performance (e.g., failure to detect some ...

Traffic incidents are nonrecurrent and pseudorandom events that disrupt the normal flow of traffic and create a bottleneck in the road network. The probability of incidents is higher during peak flow rates when the systemwide effect of incidents is most severe. Model-based solutions to the incident detection problem have not produced practical, useful results primarily because the complexity of...