Highway Research Record

VI. RESEARCH WORK DONE IN ACADEMIC INSTITUTIONS RELATED TO THESIS WORK
C. TRAFFIC AND TRANSPORTATION
Microscopic Modelling of Driver Behaviour for Varying Vehicular and Roadway Characteristics based on Fuzzy Inference System

Date of Start:January 2005
College of Engineering, Thiruvananthapuram (R, I)

Scope and Objective
(i) To study the behaviour of driver in various driving scenarios.
(ii) To determine the category of vehicles most affected by change in roadway characteristics.
(iii) To determine the user defined calibration constants of the available driver behaviour model.
(iv) To quantify the potential field functions caused due to obstacles on different scenarios.
(v) To develop fuzzy inference rules for varying roadway conditions.
(vi) To propose a fuzzy inference model denoting the microscopic behaviour of drivers under varying driving scenarios.
(vii) To plot the potential field functions experienced by the drivers under various driving scenarios due to obstacles such as       road edges, markings and static obstacles.

While driving, humans constantly perceive their immediate driving scenario and react accordingly. Drivers are capable to handle complex problems in everyday life without having an exact mathematical understanding of the system and being unaware of the values of parameters that are influencing their ride. Hence the capability of human to solve problems is based on a heuristic approach.

Hence a fuzzy inference model is proposed in order to reflect such an inherent imprecision in human perception and reasoning towards various obstacles encountered while navigating through heterogeneous driving scenarios.

Methodology
(i) Identification of various road scenarios.
(ii) Study the driver behaviour towards various scenarios by recording their corresponding lateral displacements and speed.
(iii) Study the effect of various vehicular characteristics on changing scenarios.
(iv) Development of fuzzy rules for various roadway scenarios and vehicular characteristics.
(v) Development of a fuzzy inference model on driver behaviour.
(vi) Plot the potential field functions experienced by drivers due to various obstacles.

Findings and Conclusions
(i) A fuzzy inference model, denoting the microscopic behaviour of drivers under varying driving scenarios was developed.
(ii) A relationship between Vehicular Characteristics and roadway characteristics was established.
(iii) Plot of the potential field functions experienced by the drivers under various driving scenarios due to obstacles such as road      edges, markings and static obstacles were arrived.

Report/Publication
Sajina S.J. (2005), “Microscopic Modelling of Driver Behaviour for Varying Vehicular and Roadway Characteristics Based on Fuzzy Inference System”, M.Tech Thesis, Traffic and Transportation Engineering Division, Department of Civil Engineering, College of Engineering,Trivandrum,