Emergency Rescue Decision Research Articles

Signal priority control method for emergency vehicles at intersections based on wireless communication technology

In order to give priority to control emergency vehicle signals at intersections, a priority control method for emergency vehicle signals at intersections is proposed based on wireless communication technology. The setting method of vehicle detector and emergency vehicle detector is analysed, and the non-delay model of emergency vehicle passing through the intersection is established to solve the phase and green time problems of emergency vehicle. Combined with wireless communication technology, the determination process of priority signal of emergency vehicle under fixed cycle conditions is elaborated in detail. The experimental results show that the queuing time of the designed French ordinary cars is significantly shortened, the average number of stops can be ignored, and the average delay time is shorter than that of the traditional method. This provides theoretical and practical basis for further guaranteeing the implementation of urban emergency rescue green channel and enriching the content of urban emergency rescue decision support method.

Instant prediction of earthquake casualties for early rescue planning: A joint Poisson mixed modeling approach

Reasonable and timely prediction of the number of earthquake casualties is crucial to reduce the risk of severe earthquake casualties. Good real-time predictions help government decision makers make informed emergency rescue decision in a timely manner. To provide timely predictions of casualties for an early rescue planning, we only consider factors available to government agencies early on. These factors include earthquake magnitude, aftershocks, population density, depth of epicenter, time of earthquake and location of epicenter. Casualties caused by earthquakes of similar magnitude often vary greatly from region to region; however, the types of death, serious injury and minor injury, associated with each earthquake are highly correlated. Therefore, we consider a joint Poisson mixed model for death, serious injury and minor injury, in which earthquake-specific random effects can help capture the uncertainty between earthquakes and characterize the positive correlation between the three types of casualties. Furthermore, we have applied this method to analyze the casualty data in two very different regions. The first one is Yunnan province which is a region of frequent earthquakes in China, and the other is Indonesia, a country with frequent earthquakes. In both cases, our method provided good estimates for the numbers of death, serious injury and minor injury simultaneously. In addition, the predicted random effects associated with our method not only help identify anomalous earthquake casualties, but also provide a basis for probabilistic prediction of severe casualties.

Earthquake Disaster Rescue Model Based on Complex Adaptive System Theory

China is located in the intersection area of two seismic zones. Due to this special geographical location, earthquake disasters occur frequently in China. Earthquake emergency rescue work is one of the key construction works of disaster prevention and mitigation in China. This paper mainly studies the earthquake disaster rescue model based on the complex adaptive system theory and establishes the earthquake disaster rescue model by analyzing the complex adaptive system theory and combining the earthquake rescue process. In this paper, through the task allocation mechanism task, the disaster rescue task is divided into simple task and complex task, and the executive task subject is divided into single task subject and multitask subject. On the basis of considering the shortest emergency rescue time goal and the goal of maximizing the deployment utility of rescue team, the reasonable deployment of a rescue team is realized through a complex adaptive system, that is, the deployment utility of the rescue team is maximized. In this paper, the simulation experiment and comparison of the earthquake disaster rescue model based on the complex adaptive system theory are carried out. The experimental results show that the model used in this paper is better than the other two models in terms of algorithm convergence, rescue number, and overall score; in different scenarios, the relative survival probability of the model in this paper is 58.92%, 67.85%, and 77.46%, and the proportion of the wounded rescued is 66.31%, 76.45%, and 83.06%, which were higher than those of the other two models. The earthquake disaster rescue model based on the complex adaptive system theory proposed in this paper provides an effective theoretical basis and method system for postdisaster emergency rescue decision making and enhances and improves the emergency response ability to deal with large-scale geological disaster events.

Research on Community Fire Risk Monitoring Technology Based on GIS

In recent years, with the preliminary construction of a well-off society, a series of fire safety problems in urban communities have gradually attracted wide attention. Community fire accidents have the characteristics of noticeable series effects, numerous combustibles, and too complex electrical lines. Therefore, fire safety departments have also highly valued this problem with the continuous occurrence of accidents. However, the current measures can only start from the prevention, and there are not many countermeasures for emergency rescue and monitoring and early warning. Therefore, based on the above background, this paper summarizes a Community Fire Risk Assessment System after an in-depth study by analyzing the classic community fire accidents in China and abroad in recent years. On this basis, the Community Fire Risk Assessment Model is transformed into a computer programming language, and the risk assessment management of fixed-point positioning and orientation of community fire in cities is realized based on GIS global geographic information technology. On this basis, the Community Fire Emergency Rescue Decision System based on GIS is developed and designed, and the calculation of the alarm path is optimized.

A multi-stage emergency supplies pre-allocation approach for freeway black spots: A Chinese case study.

This study presents a multi-stage random regret minimization (RRM) model as an emergency rescue decision support system to determine the emergency resource pre-allocation schedule for the freeway network. The proposed methodology consists of three steps: (1) improved accident frequency approach to identify the black spots on the freeway network, (2) stochastic programming (SP) model to determine the initial allocation plan sets, and (3) regret-based model in the logarithmical specification to select the most minimal regret one considering the factors of the response time, total cost and demand. The model is applied to the case study of 2014–2016 freeway network in Shandong, China. The results show that the random regret minimization (RRM) model can improve the full-compensation of SP model to a certain degree. RRM in logarithmical specification performs lightly better than random utility maximization (RUM) and RRM in the linear-additive specification in this case. This approach emerges as a valuable tool to help decision makers to allocate resources before traffic accident occurs, with the aim of minimizing the total regret of their decisions.

Research on natural disaster emergency monitoring system

Monitoring is the main emergency information and intelligence department. The natural disaster emergency rescue decision is made on the basis of disaster monitoring information. Obtaining timely and accurate disaster information is the fundamental guarantee for emergency and rapid rescue. Based on the research status of natural disaster emergency monitoring system, this paper proposes the establishment of sky-ground integrated natural disaster emergency monitoring system based on the research method of system management theory, and analyses quantitatively the system performance. Finally, it points out the operation mode and guarantee of the system. The mechanism provides reference for the construction of a scientific and perfect natural disaster emergency monitoring system, which really shortens the time of 'black box' and 'grey box', solves the 'vacuum' of rescue and realises rapid rescue.

Research on natural disaster emergency monitoring system

Monitoring is the main emergency information and intelligence department. The natural disaster emergency rescue decision is made on the basis of disaster monitoring information. Obtaining timely and accurate disaster information is the fundamental guarantee for emergency and rapid rescue. Based on the research status of natural disaster emergency monitoring system, this paper proposes the establishment of sky-ground integrated natural disaster emergency monitoring system based on the research method of system management theory, and analyses quantitatively the system performance. Finally, it points out the operation mode and guarantee of the system. The mechanism provides reference for the construction of a scientific and perfect natural disaster emergency monitoring system, which really shortens the time of 'black box' and 'grey box', solves the 'vacuum' of rescue and realises rapid rescue.

Research on the application of mobile phone location signal data in earthquake emergency work: A case study of Jiuzhaigou earthquake.

After an earthquake, the important task of emergency rescue work is to minimize casualties, but due to the suddenness of earthquake disasters, it is difficult to obtain enough disaster information immediately, especially personnel distribution and movement information. The traditional methods of obtaining disaster data are through reports from the disaster area or field investigations by the emergency rescue team; this work lags, and its efficiency is low. This paper analyzes the feasibility of using mobile phone location signal data in earthquake emergency rescue work in several respects, such as quantity, location, change rate, and epicentral distance. The results show that mobile phone location signal data can quickly obtain the situation of personnel distribution and quantity after an earthquake, and we find the change rate, distance, etc., can determine the approximate range of the earthquake impact field. Through the data distribution in different time periods, the movement of personnel after the earthquake can be obtained. Based on several situations, we can determine the basic situation of the disaster-stricken areas in times after the earthquake, especially the personnel relevant to the situation, and these data can provide a scientific basis for emergency rescue decision making.

Study on 3D Thematic Map of Earthquake Emergency Based on GIS

After the devastating earthquake, the earthquake emergency personnel need to get the detailed geographical information of the epicentral position in the first time, including the location of the epicenter, the administrative division of the earthquake area, the traffic, the population, the economy, the terrain, the active fault distribution, the historical earthquake and many more. The traditional approach is presented in the form of data from the Earthquake Response Base database and the production of thematic maps (two-dimensional floor plans), but it cannot describe and express the elevation of the ground and the height of the ground. Based on this, emergency rescue decision-makers on the location of the epicenter of the spatial cognitive constraints, affecting decision-makers on the field of information to determine, and thus affect the efficiency of earthquake emergency rescue work. Based on the three-dimensional symbols of seismic emergency, this paper summarizes the technical process of 3D emergency map of seismic emergency based on GIS, and realizes the threedimensional display of seismic emergency information on two-dimensional medium, Hoping to provide more realistic and more accurate mapping services for earthquake emergency rescue decision makers.

Path Optimization Study for Vehicles Evacuation based on Dijkstra Algorithm

Emergency events, such as earthquakes, hurricanes, fires, chemical accidents, nuclear accidents, terror attacks and other events may led to injured or endanger the life and the health of human beings, and the large scale crowds have to evacuate from a danger area to a safe area by vehicles. In this paper, through observing real-time road network and analyzing three different emergency evacuation cases and the nodes, intersections delay and velocity of vehicles evacuation in the morning peak, common and evening peak. A dynamic road network model is built for vehicles evacuation based on Dijkstra algorithm. The optimal evacuation path is proposed in three different cases. The obtained outcomes provide well predictive method and theoretical basis for optimal emergency evacuation path selection and emergency rescue decision in public places, especially for those with high population density. So it seems very meaningful for us to cope with emergency situation or to prevent and mitigate disasters from the crisis events.