Modelling Drivers' Behaviour as a Crash Risk Reduction Process

  • Seyyed Mohammad Sadat Hoseini
  • Manouchehr Vaziri
Keywords: lane changing, car-following, optimization, cellular automata


The evermore widespread use of microscopic traffic simulationin the analysis of road systems has refocused attention onsub models, including car-following and lane-changing models.In this research a microscopic model is developed whichcombines car-following and lane-changing models and describesdriver behaviour as a crash risk reduction process ofdrivers. This model has been simulated by a cellular automatasimulator and compared with the real data. It has been shownthat there is no reason to consider the model invalid for drivers'behaviour in the basic segments of freeways in Iran, duringnot-congested conditions. Considering that uncertainty of positionof vehicles is caused by their acceleration or deceleration, aprobability function is calibrated for calculating the presenceprobability of vehicles in their feasible cells. Multiplying thepresence probability and impact of crash, crash risk of cells iscalculated. As an application of the model, it has been shownthat when difference between vehicles brake deceleration increases,the total crash risk increases.


J Kachroo, P, and Ozbay, K., Feedback Control Theory for

Dynamic Traffic Assignment, Springer, , pp. 19-43,


Kazi Iftekhar, A., Modeling drivers· acceleration and

lane-changing behaviour, Massachusetts Institute of

Technology, (1999).

Heng, W., and Meyer, E., and Lee, J., and Chuen, F.,

Characterizing Lane-Choice Behaviour to Build Rules As

Part of Lane-Based Traffic Micro-Simulation Hierarchy,

Transportation Research Board (CD-ROM), 81' Annual

Meeting, (2002).

Sultan, B., The Lane-changing Process: Data Analysis &

Modeling behaviour, Transportation Engineering and

Control, pp. 202-207, (2001).

Shahab Uddin, M., and Ardekani, S., An Observation

Study of Lane-changing on Basic Freeway Segment,

Transportation Research Board (CD-ROM), 81'1 Annual

Meeting, (2002).

Gunay, b., Modeling Lane Discipline on Multilane Uninterrupted

Traffic Flow, Traffic Engineering + Control,

pp. 440-447, (1999).

Esser, J. and Neubert, L. and Wahle, J. and Schreckenburg,

M., Microscopic Online Simulations of Urban

Traffic Using Cellular Automata, Transportation and

Traffic Theory, pp. 535-554, (1999).

Balrovic, R., Esser, J., Froese, K., Online Traffic Simulation

with Cellular Automata,, (2005).

Antonini, G., Bierlaire, M. and Weber, M., Discrete

Choice Models of Pedestrian Walking Behaviour, Transportation

Research Part B, (2006).

Sadat Hoseini, S., M., Vaziri, M., Using Image processing

for Microsimulation of Freeways in Developing Countries,

Transportation Research Board, TRB, (2006).

Sadat Hoseini, S., M., Vaziri, M., Modeling Drivers'

Behaviour As An Optimization Process, Transportation

Research Board, TRB, (2007).

Hoogendoorn, S., Osseo, S., Gorte, B., Inter-Driver Differences

in Car-following: a Vehicle Trajectory Based

Study, Transportation Research Board, TRB, (2006).

Ming-Chin Tsai, Chien-Chih Su, Scenario analysis of

freight vehicle accident risks in Taiwan, Accident analysis

& prevention, (2004).

AASHTO, Geometric Design of Highways and Streets,

pp40, (1994).

Brockfeld, E., Kuhne. R., Wagner, P., Calibration and

Validation of Microscopic Models of Traffic Flow, Transportation

Research Board, TRB, (2005).

Chung, C., Simulation modeling hand book, CRC

PRESS, pp 8.11-8.14(2003).

How to Cite
Hoseini SMS, Vaziri M. Modelling Drivers’ Behaviour as a Crash Risk Reduction Process. Promet [Internet]. 1 [cited 2024May23];20(3):139-46. Available from:
Older issues