scholarly journals Simulation and analysis of road construction traffic flow in urban road networks

2015 ◽  
Vol 7 (11) ◽  
pp. 168781401561817 ◽  
Author(s):  
Junqing Shi ◽  
Yongju Hu ◽  
Sulan Li ◽  
Zhiqiang Li ◽  
Xinhuan Zhang ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Road Networks ◽  
Road Construction ◽  
Urban Road

scholarly journals CONTROL OF TRAFFIC FLOW DYNAMICS IN URBAN ROAD NETWORKS

2006 ◽  
Vol 39 (12) ◽  
pp. 79-84 ◽  
Author(s):  
Hikaru Shimizu ◽  
Masa-aki Kobayashi ◽  
Haruko Fujii ◽  
Hiroshi Ishikawa
Keyword(s):  
Traffic Flow ◽  
Road Networks ◽  
Flow Dynamics ◽  
Urban Road

Fuel economy of urban road networks based on traffic flow

2014 ◽  
Vol 167 (2) ◽  
pp. 100-110 ◽  
Author(s):  
Yu-qin Feng ◽  
Jun-qiang Leng ◽  
Ya-ping Zhang ◽  
Yi He
Keyword(s):  
Traffic Flow ◽  
Fuel Economy ◽  
Road Networks ◽  
Urban Road

scholarly journals Multilane Traffic Flow Modeling Using Cellular Automata Theory

2018 ◽  
Vol 173 ◽  
pp. 06003 ◽  
Author(s):  
Antonina Chechina ◽  
Natalia Churbanova ◽  
Marina Trapeznikova
Keyword(s):  
Mathematical Modeling ◽  
Cellular Automata ◽  
Traffic Flow ◽  
Road Networks ◽  
Automata Theory ◽  
Flow Modeling ◽  
Traffic Flows ◽  
Microscopic Approach ◽  
Traffic Lights ◽  
Urban Road

The paper deals with the mathematical modeling of traffic flows on urban road networks using microscopic approach. The model is based on the cellular automata theory and presents a generalization of the Nagel-Schreckenberg model to a multilane case. The created program package allows to simulate traffic on various types of road fragments (T or X type intersection, strait road elements, etc.) and on road networks that consist of these elements. Besides that, it allows to predict the consequences of various decisions regarding road infrastructure changes, such as: number of lanes increasing/decreasing, putting new traffic lights into operation, building new roads, entrances/exits, road junctions.

scholarly journals Application of Chaos Theory in the Prediction of Motorised Traffic Flows on Urban Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Aderemi Adewumi ◽  
Jimmy Kagamba ◽  
Alex Alochukwu
Keyword(s):  
Traffic Flow ◽  
Chaos Theory ◽  
Road Networks ◽  
Urban Traffic ◽  
Largest Lyapunov Exponent ◽  
Urban Networks ◽  
Urban Road ◽  
Traffic Flow Prediction ◽  
Lyapunov Time ◽  
Congestion Problems

In recent times, urban road networks are faced with severe congestion problems as a result of the accelerating demand for mobility. One of the ways to mitigate the congestion problems on urban traffic road network is by predicting the traffic flow pattern. Accurate prediction of the dynamics of a highly complex system such as traffic flow requires a robust methodology. An approach for predicting Motorised Traffic Flow on Urban Road Networks based on Chaos Theory is presented in this paper. Nonlinear time series modeling techniques were used for the analysis of the traffic flow prediction with emphasis on the technique of computation of the Largest Lyapunov Exponent to aid in the prediction of traffic flow. The study concludes that algorithms based on the computation of the Lyapunov time seem promising as regards facilitating the control of congestion because of the technique’s effectiveness in predicting the dynamics of complex systems especially traffic flow.

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