Robust visual surveillance based traffic information analysis and forewarning in urban dynamic scenes

Author(s):  
Jie Shao ◽  
Zhen Jia ◽  
Zhipeng Li ◽  
Fuqiang Liu ◽  
Jianwei Zhao ◽  
...  
2019 ◽  
Vol 51 (3) ◽  
pp. 65-76 ◽  
Author(s):  
Iouri Semenov ◽  
Ludmila Filina-Dawidowicz ◽  
Piotr Trojanowski

This article presents the methodology of information analysis, required for planning safe road transport of sensitive cargoes. Based on the literature studies we found that the traditional approaches applied to analyze traffic information are insufficient to ensure safe transport of sensitive loads as they fail to take into account several threatening factors. In addition, the need was noted to develop the procedures that may allow to choose a transport route considering appearance of so-called high-risk zones within road infrastructure, analyze the interdependence of such zones with errors made during the design or operation of road infrastructure and investigate the impact of road traffic on the frequency of road accidents involving Heavy Goods Vehicle. Therefore, article aims to present an integrated approach to traffic information analysis. Thus a multiple stage data ordering procedures were proposed, based on grouping information on accident rates and inclusion of audit results of selected route sections. Considering that transport infrastructure plays an important role in transport safety, the proposed methodology includes the analysis of errors in infrastructure and a merger in the sections the detected risk zones within the road infrastructure in any location. Application of this methodology can improve the planning of road transport of sensitive cargoes. Its verification was carried out on the example of a selected route running through Poland. During the audit of the route, it was found that a number of incorrect design solutions were applied on its separate sections, which may lead to high values of the severity factor for potential collisions and indicator of possible post-accidental losses. As a result of the research, the areas of the route were identified, where high-risk zones are located that threaten the safety of road traffic of vehicles, including those carrying sensitive loads. Research results may be of interest for those, who are involved in planning and organization of sensitive cargo transport, both in domestic and in international relations.


1998 ◽  
Vol 16 (8) ◽  
pp. 529-532 ◽  
Author(s):  
P. Remagnino ◽  
T. Tan ◽  
K. Baker

2014 ◽  
Vol 568-570 ◽  
pp. 831-834
Author(s):  
Yuan Zhang Lu ◽  
Bing Zhang

In this paper, we propose an analysis refine scheme based on data fusion towards some existing problems in data analysis of intelligent transportation systems .This method constructed the data into a plurality of time-series according to the characteristics of each attribute data. Providing an objective scientific basis for dynamic traffic management through intelligent analysis of traffic information based on the gray advantage analysis among data and system model of Intelligent Traffic Information decision support and auxiliary decision analysis.


2012 ◽  
Author(s):  
Lyndsey K. Lanagan-Leitzel ◽  
Emily Skow ◽  
Cathleen M. Moore

2003 ◽  
Author(s):  
Eugene Santos ◽  
Hien Nguyen ◽  
Qunhua Zhao ◽  
Hua Wang

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