Route choice modelling and drivers’ behaviours: the impact of in-vehicle navigation systems

Ennals, Matthew (2016) Route choice modelling and drivers’ behaviours: the impact of in-vehicle navigation systems. BEng dissertation, University of Portsmouth.

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    Each year, the UK Department for Transport is tasked with deciding which road construction projects will receive public sector funding based on the modelling of the likely impact of the road (costs and benefits). Route choice models predict which routes motorists will use throughout the network and are used to inform these decisions. Driver behaviour in route choice has always been inherently difficult to model owing to individual’s decision making, rationality, knowledge and increasingly today, use of technology.
    In-vehicle navigation devices are influencing drivers’ decision-making processes resulting in even more complex driver behaviour. Whilst variations in driver behaviour are being partly addressed by stochastic models, these are more improved revisions of the existing models and the psychological factors in driver behaviour has remained understudied. Furthermore a study of the impact of in-vehicle navigation systems on the existing models, and a suggestion on how to improve the current models, has not yet been attempted.
    This study will assess how drivers’ are using in-vehicle navigation devices using a quantitative survey method. The questionnaire received N = 93 responses of which were analysed using statistical tests of significance for bias. The results have then been discussed in how good they are in reflecting current route choice models.
    This study has shown that not all drivers act in a way that maximises their utility and minimises the cost of travel. This has been done even after obtaining more perfect knowledge which would not appear to be rational behaviour in Wardrop’s equilibrium model. Some drivers however are taking active steps to further minimise their journey costs by following real-time traffic updates.
    The extent of the drivers with most perfect knowledge available to them has not been concluded in this study. Further research with a greater survey size would be required to come to any meaningful conclusions. Work could be done to determine of the proportion of drivers that use sat-nav, how many further minimise their travel time by using real-time traffic guidance either through sat-nav, intelligent transportation systems guidance or other emerging technologies.

    Item Type: Dissertation
    Departments/Research Groups: Faculty of Technology > School of Civil Engineering and Surveying
    Depositing User: Beth Atkins
    Date Deposited: 01 Sep 2016 12:59
    Last Modified: 01 Sep 2016 12:59

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