A probabilistic estimation of traffic congestion using Bayesian network

Measurement ◽  
2021 ◽  
Vol 174 ◽  
pp. 109051
Author(s):  
Tanzina Afrin ◽  
Nita Yodo
Keyword(s):  
Bayesian Network ◽  
Traffic Congestion ◽  
Probabilistic Estimation

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.

Analysis of Traffic Congestion by Considering Merging on Entry Lines in Transportation System

2011 ◽  
Vol 131 (8) ◽  
pp. 1059-1067
Author(s):  
Takahiro Hoshino ◽  
Kazuhiro Tsuboi ◽  
Yoshio Hamamatsu
Keyword(s):  
Traffic Congestion ◽  
Transportation System
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