The human-orientated design approach in innovative driving support systems

Jingqiu Guo

Research output: ThesisDoctoral Thesis

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[Truncated abstract] The concept of Vehicular Ad Hoc Networks (VANETs), using moving vehicles as nodes to produce a mobile network, creates unique opportunities, requirements and challenges for vehicular transport systems. If vehicles are enabled to communicate with each other (Vehicle-to-Vehicle, i.e. V2V) and with roadside infrastructure (Vehicle-to- Infrastructure, i.e. V2I), a new paradigm for vehicle safety and efficiency applications can be formed. Meanwhile, both economic and technical requirements are generated. The objective of this research is to develop a conceptual and theoretical framework to analyse driver interactions and compatibility with the new driving support systems. As opposed to preceding studies mainly focused on specific technological research topics, this study seeks to explore individual driver desires and perceptions relevant to system design. Discrete choice modelling has expanded significantly with the development of flexible models that allow for progressively more realistic representations of complex and dynamic choice behaviour, especially in transport research. In this study, latent class modelling, incorporating individual psychometric data, is motivated particularly by the high technology V2V system where decision makers’ behaviour is critically influenced by perceptions and attitudes. Several advantages of this modelling approach are: first, it can capture underlying, unobservable discrete segmentation across the population; second, it jointly estimates both the parameters of the class membership model (linking observable information features with the likelihood of being in a particular class) and the class specific behaviour; third, it estimates the magnitude of each segment. The framework considers, at individual level, the effects of the three forces on the choice process: decision pattern, general attitudes, and degree of stated preference survey engagement. The approach makes it possible to characterise individuals
Original languageEnglish
QualificationDoctor of Philosophy
Publication statusUnpublished - 2012


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