The Cooperative Guidance Path Optimization Based on Road Network Layered

CICTP 2019 ◽  
2019 ◽  
Author(s):  
Zhi-Lin Li ◽  
Ming Wang ◽  
Shu-Tao Gao
Keyword(s):  
Road Network ◽  
Path Optimization ◽  
Cooperative Guidance

The Emergency Rescue and Path Optimization of Dangerous Goods Based ArcGIS

2013 ◽  
Vol 658 ◽  
pp. 560-564
Author(s):  
Yong Guang Chen ◽  
Qing Juan Wang ◽  
Bai Ping Zheng ◽  
Chun Zhi Liu
Keyword(s):  
Emergency Response ◽  
Road Network ◽  
Path Optimization ◽  
Dijkstra Algorithm ◽  
The Road ◽  
Emergency Rescue ◽  
Dangerous Goods ◽  
Emergency Response Plan ◽  
Chongqing City ◽  
Response Plan

A mathematical model of the road network about emergency rescue is studied on ArcGIS software and Dijkstra algorithm. It provides a shortest path method through the optimization process in Chongqing city. A good Study on city accidents emergency response plan may be established.

scholarly journals INDUSTRIAL APPLICATIONS OF COMPUTATIONAL INTELLIGENCE

2014 ◽  
pp. 33-42
Author(s):  
Colin M. Frayn
Keyword(s):  
Data Analysis ◽  
Real World ◽  
Computational Intelligence ◽  
Road Network ◽  
Industrial Applications ◽  
Path Optimization ◽  
Financial Applications ◽  
Business Partners

In this paper, I cover in more detail two specific applications where Computational Intelligence systems have been used in industry. In particular, I consider the problems of path optimization through an inhomogeneous road network, and data analysis for financial applications. This paper will deal with several important questions about the applicability of those techniques in real-world scenarios, and will show how some of these issues have been directly addressed in order to create value for our business partners.

Impact of the urban construction solutions on the safety population

2020 ◽  
Vol 17 (2) ◽  
pp. 66-73
Author(s):  
R. D. Oktyabrskiy
Keyword(s):  
Traffic Congestion ◽  
Urban Population ◽  
Road Network ◽  
Residential Development ◽  
Emergency Situations ◽  
Urban Construction ◽  
Safety Population ◽  
Peace And War ◽  
The City

The article is devoted to the justification of the need to reduce the population density in the residential development of cities. The analysis of vulnerability of the urban population from threats of emergency situations of peace and war time, and also an assessment of provision of the city by a road network is given. Proposals have been formulated to reduce the vulnerability of the urban population in the long term and to eliminate traffic congestion and congestion — jams.

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