Effective Urban Structure Inference from Traffic Flow Dynamics

2017 ◽  
Vol 3 (2) ◽  
pp. 181-193 ◽  
Author(s):  
Somwrita Sarkar ◽  
Sanjay Chawla ◽  
Shameem Ahmad ◽  
Jaideep Srivastava ◽  
Hosam Hammady ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Flow Dynamics ◽  
Urban Structure

Continuum modeling of cooperative traffic flow dynamics

2009 ◽  
Vol 388 (13) ◽  
pp. 2705-2716 ◽  
Author(s):  
D. Ngoduy ◽  
S.P. Hoogendoorn ◽  
R. Liu
Keyword(s):  
Traffic Flow ◽  
Flow Dynamics ◽  
Continuum Modeling

ANALYSIS OF THE INFLUENCE OF LANE CHANGING ON TRAFFIC-FLOW DYNAMICS BASED ON THE CELLULAR AUTOMATON MODEL

2011 ◽  
Vol 22 (03) ◽  
pp. 271-281 ◽  
Author(s):  
SHINJI KUKIDA ◽  
JUN TANIMOTO ◽  
AYA HAGISHIMA
Keyword(s):  
Boundary Condition ◽  
Cellular Automaton ◽  
Numerical Simulations ◽  
Traffic Flow ◽  
Flow Dynamics ◽  
Open Boundary ◽  
Open Boundary Condition ◽  
Lane Changing ◽  
Basic Characteristics ◽  
Conventional Models

Many cellular automaton models (CA models) have been applied to analyze traffic flow. When analyzing multilane traffic flow, it is important how we define lane-changing rules. However, conventional models have used simple lane-changing rules that are dependent only on the distance from neighboring vehicles. We propose a new lane-changing rule considering velocity differences with neighboring vehicles; in addition, we embed the rules into a variant of the Nagel–Schreckenberg (NaSch) model, called the S-NFS model, by considering an open boundary condition. Using numerical simulations, we clarify the basic characteristics resulting from different assumptions with respect to lane changing.

scholarly journals Enhancing Freeway Safety through Intervening in Traffic Flow Dynamics Based on Variable Speed Limit Control

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Jinming You ◽  
Shouen Fang ◽  
Lanfang Zhang ◽  
John Taplin ◽  
Jingqiu Guo
Keyword(s):  
Real Time ◽  
Traffic Flow ◽  
New Technologies ◽  
Flow Dynamics ◽  
Crash Risk ◽  
Speed Limit ◽  
Variable Speed ◽  
Variable Speed Limit ◽  
Traffic Conditions ◽  
Safety Research

New technologies and traffic data sources provide great potential to extend advanced strategies in freeway safety research. The High Definition Monitoring System (HDMS) data contribute comprehensive and precise individual vehicle information. This paper proposes an innovative Variable Speed Limit (VSL) based approach to manage crash risks by intervening in traffic flow dynamics on freeways using HDMS data. We first conducted an empirical analysis on real-time crash risk estimation using a binary logistic regression model. Then, intensive microscopic simulations based on AIMSUN were carried out to explore the effects of various intervention strategies with respect to a 3-lane freeway stretch in China. Different speed limits with distinct compliance rates under specified traffic conditions have been simulated. By taking into account the trade-off between safety benefits and delay in travel time, the speed limit strategies were optimized under various traffic conditions and the model with gradient feedback produces more satisfactory performance in controlling real-time crash risks. Last, the results were integrated into lane management strategies. This research can provide new ideas and methods to reveal the freeway crash risk evolution and active traffic management.

scholarly journals A Crash Surrogate Metric considering Traffic Flow Dynamics in a Motorway Corridor

2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
Xu Wang ◽  
Kai Liu
Keyword(s):  
Traffic Flow ◽  
Risk Index ◽  
Simple Calculation ◽  
Flow Dynamics ◽  
Crash Data ◽  
Time To Collision ◽  
Crash Rates ◽  
Crash Surrogate ◽  
Surrogate Measures ◽  
Levels Of Service

We proposed a new crash surrogate metric, i.e., the maximum disturbance that a car following scenario can accommodate, to represent potential crash risks with a simple closed form. The metric is developed in consideration of traffic flow dynamics. Then, we compared its performance in predicting the rear-end crash risks for motorway on-ramps with other two surrogate measures (time to collision and aggregated crash index). To this end, a one-lane on-ramp of Pacific Motorway, Australia, was selected for this case study. Due to the lack of crash data on the study site, historical crash counts were merged according to levels of service (LOS) and then converted into crash rates. In this study, we used the societal risk index to represent the crash surrogate indicators and built relationships with crash rates. The final results show that (1) the proposed metric and aggregated crash index are superior to the time to collision in predicting the rear-end crash risks for on-ramps; (2) they have a relatively similar performance, but due to the simple calculation, the proposed metric is more applicable to some real-world cases compared with the aggregated crash index.

scholarly journals Learning Traffic Flow Dynamics Using Random Fields

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 130566-130577 ◽  
Author(s):  
Saif Eddin G. Jabari ◽  
Deepthi Mary Dilip ◽  
Dianchao Lin ◽  
Bilal Thonnam Thodi
Keyword(s):  
Traffic Flow ◽  
Random Fields ◽  
Flow Dynamics

Exploring urban traffic flow dynamics

2013 ◽  
Author(s):  
Adam Malcontenti-Wilson ◽  
Hai L. Vu ◽  
Peter Cadusch ◽  
Philip Branch ◽  
Hans van Lint ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Urban Traffic ◽  
Flow Dynamics

Multilane traffic flow dynamics: Some macroscopic considerations

1984 ◽  
Vol 18 (4-5) ◽  
pp. 377-395 ◽  
Author(s):  
Panos G. Michalopoulos ◽  
Dimitrios E. Beskos ◽  
Yasuji Yamauchi
Keyword(s):  
Traffic Flow ◽  
Flow Dynamics

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

Nonlinear analysis of the individual difference corresponding to honk effect for car-following theory under V2X environment

2020 ◽  
Vol 31 (11) ◽  
pp. 2050157
Author(s):  
Guanghan Peng ◽  
Li Qing
Keyword(s):  
Numerical Simulation ◽  
Traffic Flow ◽  
Individual Difference ◽  
Driving Behavior ◽  
Flow Dynamics ◽  
Traffic Modeling ◽  
Car Following ◽  
Car Following Model ◽  
The Individual ◽  
Honk Effect

Originally, we would like to use traffic modeling for car-following model to recover the individual difference of driving behavior corresponding to honk effect under V2X environment. Traffic stability is related to the individual difference resulting from the honk effect, which states that the individual difference of honk effect plays a different significant impact on the traffic stability. Furthermore, the slowly varying behaviors are closely consistent with the individual difference corresponding to the honk effect for long waves. Numerical simulation indicates that the individual difference of driving behavior plays a different role on traffic flow dynamics under honk environment in car-following model.

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