PROJECT TITLE :

Determinants of driver response to variable message sign information in Athens

ABSTRACT:

Variable message signs – that comprise a sort of advanced traveller data systems – will have an effect on driver behaviour, especially considering route alternative. Hence, their operation is integrated in traffic management methods for the mitigation of tie up. This research explores the factors determining driver response to variable message signs (VMSs) in the city of Athens. A stated preference questionnaire survey is undertaken and discrete choice analysis is performed towards this aim. More specifically, a random-result ordered probit model is estimated that has insight on the contributory factors that influence driver propensity to divert, when given information on incident occurrence via VMSs. Message characteristics, that's, incident type, impact and suggestion for another route, trip characteristics, such as vehicle sort, plus, driver characteristics, like driver age and income, have been found to have an effect on driver behaviour. Furthermore, applicable models also are estimated for subsets of the driving population (considering gender and age) and specific similarities and variations between the population behaviours are identified.