Trip Planning Within a Multimodal Urban Mobility
Luis Ulloa, Vassilissa Lehoux, Frédéric Roulland
Special Issue of IET Intelligent Transport Systems, 12 (2), pp. 87-92
To address the current challenges of mobility in large urban areas, the authors wish to make practical the experience of multimodal travels, where a range of complementary transportation services are offered to an individual. Making multimodal travels is, however, still complex and the burden is let to the traveller. In this paper, the authors present their work for making the user experience of planning a trip in a multimodal mobility context simple and efficient. The authors recall the technical challenges and literature associated with such planning which must be truly multimodal, real-time and contextualised to the user preferences. The authors then describe the main features, differentiation, and advantages of the Xerox Trip Planner system, their solution for the computation of multimodal trips. The authors explain their path alternative generation method and a way to allow for more complex transfer mode sequences in the so-called round-based multimodal trip planning algorithms. The authors also present a comparative study with data from the city of Adelaide, Australia, which assesses the dynamic planning component of their solution with the other options available in this city.