Intelligent Personalised Traveller Information: Impacts on the choice of travel mode Weihong Guo 1* Transport Operations Research Group University of Newcastle upon Tyne, UK Cassie Building, Newcastle upon Tyne, NE1 7RU Tel: +44 191 222 6424 E-mail: weihong.guo@ncl.ac.uk Prof. Phil Blythe 2 Transport Operations Research Group University of Newcastle upon Tyne, UK Cassie Building, Newcastle upon Tyne, NE1 7RU Tel: +44 191 222 7935 E-mail: p.t.blythe@ncl.ac.uk ABSTRACT Progressively improved information and communication technologies have led to the cusp of the era of applying pervasive computing to transport. Potentially this may lead to a significant improvement in the delivery of future traveller information. This paper describes current research at the University of Newcastle upon Tyne which is investigating the potential impacts of the next generation of traveller information systems on facilitating more use of traveller information for modal choices and accordingly, motivating a modal shift from the car towards public transport. These systems, termed as Intelligent Personalised Traveller Information (IPTI) in this research, seek to offer efficient and convenient real-time access to better customised traveller information and to provide intelligent supports with context-awareness to individual travellers, in particular, public transport users. Two scenarios are developed and used as visual aids in a three-stage field survey to test research hypotheses identified in this research. KEYWORDS Pervasive computing; intelligent personalised traveller information; modal choice; scenario building 1 INTRODUCTION The issue of modal choices affects the level of traffic pollution, the efficiency of the overall transport system and the efficiency of the individual trip. The UK’s National Travel Survey indicates that growth has occurred exclusively in car travel and has led to a decrease in the use of alternatives to the car and car occupancies [1]. If some drivers could be persuaded to use public