A Car-Following Model Relating Reaction Times and Temporal Headways to Accident Frequency

1972 ◽  
Vol 6 (4) ◽  
pp. 343-353 ◽  
Author(s):  
Edward A. Brill
Keyword(s):  
Reaction Times ◽  
Car Following ◽  
Accident Frequency ◽  
Car Following Model

Linear Acceleration Car-Following Model Development and Validation

1998 ◽  
Vol 1644 (1) ◽  
pp. 10-19 ◽  
Author(s):  
M.F. Aycin ◽  
R.F. Benekohal
Keyword(s):  
Intelligent Transportation Systems ◽  
Field Data ◽  
Statistical Tests ◽  
Reaction Times ◽  
Linear Acceleration ◽  
Transportation Systems ◽  
Cruise Control ◽  
Vehicle Simulation ◽  
Car Following ◽  
Car Following Model

A linear acceleration car-following model has been developed for realistic simulation of traffic flow in intelligent transportation systems (ITS) applications. The new model provides continuous acceleration profiles instead of the stepwise profiles that are currently used. The brake reaction times of the drivers are simulated effectively and are independent of the simulation time steps. Chain-reaction times of the drivers are also simulated and perception thresholds are incorporated in the model. The preferred time headways are utilized to determine the simulated drivers’ separation during car-following. The features of the model and the realistic vehicle simulation in car-following and in stop-and-go conditions make this model suitable to ITS, especially to autonomous intelligent cruise-control systems. The car-following algorithm is validated at microscopic and macroscopic levels by using field data. Simulated versus field trajectories and statistical tests show very strong agreement between simulation results and field data.

Car-Following Model for Motorway Traffic

2005 ◽  
Vol 1934 (1) ◽  
pp. 33-42 ◽  
Author(s):  
Jiao Wang ◽  
Ronghui Liu ◽  
Frank Montgomery
Keyword(s):  
Shock Wave ◽  
Wave Propagation ◽  
Flow Characteristics ◽  
Reaction Times ◽  
Shock Wave Propagation ◽  
Flow Density ◽  
Model Parameters ◽  
Simulation Experiments ◽  
Car Following ◽  
Car Following Model

This paper presents a new car-following model that aims to capture some of the key motorway flow characteristics, namely, traffic breakdown, hysteresis, and shock wave propagation, as well as close-following behavior. The model proposes three different driving states: nonalert, alert, and close following. Under the different driving states, drivers apply different reaction times and accelerations. This paper presents the formulation and algorithmic implementation of the model. The theoretical analysis of the macroscopic flow–density relationships of the model is discussed. Simulation experiments were conducted, and the results are examined at both the macroscopic level (speed breakdown and traffic hysteresis) and the microscopic level (gap distribution and shock wave propagation). The results show that the model is able to capture realistically the speed drop, traffic hysteresis, and shock wave propagation as well as close-following behavior. Further studies of the sensitivities of key model parameters suggest that the drivers’ reaction times have a significant effect on the modeled capacity and occupancy, while the effect of the speed threshold that distinguishes congested from noncongested traffic flow is less significant.

scholarly journals String Stability and Platoon Safety Analysis of a New Car-following Model Considering a Stabilization Strategy

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Mingfei Mu ◽  
Junjie Zhang ◽  
Changmiao Wang ◽  
Jun Zhang ◽  
Can Yang
Keyword(s):  
Safety Analysis ◽  
String Stability ◽  
Car Following ◽  
Car Following Model

Car-following model of multispecies systems of road traffic

1997 ◽  
Vol 55 (3) ◽  
pp. 2203-2214 ◽  
Author(s):  
Anthony D. Mason ◽  
Andrew W. Woods
Keyword(s):  
Road Traffic ◽  
Car Following ◽  
Car Following Model ◽  
Multispecies Systems
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