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Emergency logistics is one of the most important measures to solve disastrous accident. Studying on the implement of emergency logistics project has a significant role in supporting emergency rescue system. Therefore, it is necessary to analysis and plan on emergency logistics project in order to support the emergency rescue system. This paper focuses on current flaws of emergency logistics, introducing...
The mechanism behind collisions between vehicles and pedestrians must be thoroughly studied in order to prevent future traffic accidents. In particular, preventing collisions where pedestrian steps out onto the road from behind an obstruction such as buildings, walls or vehicles is a challenging problem. To tackle this problem, we propose situation dependent topic model (SDTM), a regression model...
Real time traffic crash risk prediction is very important for proactive safety management systems. In this paper, a new model is developed to predict real time traffic crash risk based on some elaborately selected characteristics of traffic flow. Compared with the dominant conventional matched case-control logistic regression model which is based on the assumption that all the traffic crashes share...
This paper deals with problem of analysis of traffic data. A traffic network has several types of roads: historical centre, peripherals, arterial roads, etc. They have specific properties. For a traffic analysis, large amounts of data are needed. Some traffic data are difficult to obtain due to their rare occurrence. Typical example is the investigation of traffic accidents. In these cases, data from...
According to statistics from 2011 to 2013, in China, approximately 60,000 people were killed in road traffic accidents every year. And about 4% of these accidents have vehicle safety issues, such as brake failure, tire burst. To investigate association between vehicle safety performance and traffic accident casualty risk, 1302 traffic accident samples with detailed information were collected and transformed...
Traffic accident has posed a threat to the safety of human life. Accident often occurs in some certain areas. In order to achieve the target of the identification and judgment of the accidents hotspots during driving, and improve the driving safety of vehicle and the traffic efficiency through early warning, a research was done based on the recent collected 400 sets of accidents data of 10 major roads...
In modern society, our everyday life has a close connection with traffic issues. One of the most burning issues is about predicting traffic accidents. Predicting accidents on the road can be achieved by classification analysis, a data mining procedure requiring enough data to build a learning model. Regarding building such a predicting system, there are several problems. It requires lots of hardware...
Generally, the aim of logistic transportation route choice is to reduce the transportation risks and its cost, increase customers' satisfaction, shorten the transportation time. As the fragile productions endure the possibility of broken during the transportation, undermine its broken risks become a new aim. This article analyzes the road conditions which have effects on fragile productions' transportation,...
In order to identify the possible contributory factors on urban road environment to accident severity, the logistic regression model was applied to traffic accident data collected from police-reports. A total of 2117 accidents occurred in Shijiazhuang in 2002 were considered for the purpose of this paper. Accident severity (dependent variable) in this paper is a dichotomous variable with two categories:...
This paper demonstrates the Necessity and Feasibility of Rail Transit Based City Logistics in Beijing. The urban roads of Beijing have heavy burdens for there are too many vehicles. And the pollution in Beijing is serious for the emissions of the vehicles. There is developed metro system in Beijing and the metro system is not made best use. If the metro system is used in urban delivery too, many benefits...
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