I am trying to psychologically predict drivers' speeding driving behaviour via driver behaviour questionnaire (DBQ) as a whole. However, I am unable to mathematical model of the drivers via DBQ and instrumented vehicle. Is there any reference books and papers that help? Thanks in advance.
Teo, it may be interesting to consider the previous research done on a driver's willingness to accept risk under particular conditions as a starting place. A closed test track study would be an ideal location for data collection using confederate vehicles to adjust the perceived level of hazard. You can use changes in vehicle kinematics as a surrogate measure to risk and identify correlations between your DBQ and your time-series data.
Dear Teo,
some research using both simulators and DBQ may be found on RG - https://www.researchgate.net/publication/269935148_Validation_of_the_driver_behaviour_questionnaire_using_behavioural_data_from_an_instrumented_vehicle_and_high-fidelity_driving_simulator - but it used speed as a surrogate for accidents.
I am afraid that DBQ maybe does not predict accidents in general, but self-reported ones - see this classical paper: http://www.sciencedirect.com/science/article/pii/S0022437510001131
However this topic is full of discussions, see for example here - http://eprints.qut.edu.au/49727/2/49727a.pdf
Since I am not an expert in this field, I suppose others may be more helfpul...
Article Validation of the driver behaviour questionnaire using behav...
Does the instrumented vehicle slow down when it sees a police car in hiding, waiting to trap a speeding vehicle? Does it also slow down to allow the occupants to rubberneck while passing the scene of an accident? Does it speed up to get even with an inconsiderate driver who just zoomed past you and cut you off? It does seem like you have chosen a very interesting R&D subject :) .
Teo, it may be interesting to consider the previous research done on a driver's willingness to accept risk under particular conditions as a starting place. A closed test track study would be an ideal location for data collection using confederate vehicles to adjust the perceived level of hazard. You can use changes in vehicle kinematics as a surrogate measure to risk and identify correlations between your DBQ and your time-series data.
Dear Teo,
Are you interested in only speeding? Speeding and lane changing are two top factors in estimating road safety risk. Regarding relevant questionnaires, have you checked the recent work done at the University of Florida in Gainesville, it can be helpful.
Thanks Jiří Ambros, Erdal Atrek, Alexandria Marie Noble and Yorgos J. Stephanedes =)
Dear Erdal Atrek and Alexandria Marie Noble,
After much considerations, I have limitations for carrying out my real-world driving in both on road test driving and closed test track driving.
On road test driving has limitations such as (1) endangering both the drivers and other road users (2) being stopped by police during test drive due to illegal driving behaviour and hence interrupt accurate data collections.
Closed circuit driving has limitations such as (1) getting the drivers to the scene to carry out the test drive for data collections. My university does not have a test track, so I would need to carry out else where where there is very minimal volunteer drivers for me to carry out my study.
Can you kindly provide me a solution to this matter?
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