Rigby, M. and Winter, S. Flexible decision making under uncertainty for intelligent mobility on-demand, Workshop on Visually-Supported Reasoning with Uncertainty, GIScience, Vienna, Austria, September 2014.
Interacting with dynamic ride sharing systems for ad-hoc travel is a complex spatio-temporal task. The uncertainty of service supply and demand in this constrained arena challenges the rigidity of traditional human-computer interfaces. Without knowledge of service potential or the effect of their own limiting constraints, clients may simply not find any matching ride. Previous work on an intuitive interface concept, launch pads, resolves this issue by providing clients with visual feedback during a novel 2-step negotiation. Whilst computationally valid, human understanding of the launch pad metaphor and its interaction design still has to be assessed to close the system’s feedback loop. For this purpose usability testing of launch pads is proposed in a directed wayfinding scenario. Results of testing will allow tuning of the system towards validation of the proposed visualization.
Stephan Winter and Michael Rigby will be attending this week’s GIScience conference in Vienna, Austria. They are particularly interested in talking to other attendees about ridesharing and flexible transportation, in particular those aspects relating to spatial information and cognition.
On 28 and 29 August 2014, Nicole Ronald participated in a NICTA-hosted infrastructure hackathon organised as part of the Australia 3.0 initiative. From our point of view, the main aims of participating were to understand more about how hackathons work and how we can encourage spatial and transport students to get involved, as well as having the opportunity to present some of our research to a different audience.
Nicole took the opportunity to work with the newly released Uber API, which permits real-time access to Uber data, and to test out a visualisation of launchpads, based on Michael Rigby’s PhD research. While Michael’s research focuses on ridesharing, where privacy is a major issue, Nicole identified convenience (shorter travel times, cheaper trips) and health (a door-to-door travel culture leads to less walking) as potential reasons why spatial flexibility is useful in the context of single-passenger taxis. As a one-person team, this provided a self-contained project that produced some early results: the diagram below showed that, when starting at the train station, walking a short distance could lead to being picked up quicker and a quicker ride. We intend to turn the static mockups into a live demo in the near future.
The winning team consisted of PhD students from our research partners in Computing and Information Systems, The University of Melbourne and a Monash student co-supervised by Mark Wallace, an iMoD investigator. They will be mentored to further develop their product and also received two return flights to Silicon Valley.
For more information about the hackathon, please visit infrahack.org.
Rigby, M., Krüger, A., Winter, S. (2013), An opportunistic client user interface to support centralized ride share planning, 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2013). ACM, Orlando, Florida, USA.
Existing ride sharing systems for commuting in urban environments are rigid. They rely on the communication of discrete, spatio-temporal constraints from both vehicle and client to perform ride-matching. From a client user perspective these approaches are problematic, leading to location-privacy issues and the use of additional communication channels for ad-hoc negotiation which cannot be immediately quantified. To account for these aspects, we develop a dynamic, intuitive interface technique called launch pads and a centralized system architecture, which together simplify the ride-matching process whilst preserving location-privacy. The results of two experiments reveal the latent potential existing within ride sharing systems if vehicle flexibility is quantified and incorporated into a representation of accessibility. The communication via launch pads provides a client with means to fully exploit this potential.
Please contact one of the authors for a copy.
Professor Stephan Winter and Michael Rigby will be attending the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (known in short as ACM SIGSPATIAL GIS 2013) in Orlando, Florida, USA.
Michael will be presenting his work on a client user interface to support centralized ride share planning in the main track of the conference, while Stephan will be presenting a paper undertaken with Dr Nicole Ronald, Dr Russell Thompson, and John Haasz on demand-responsive transportation viability in the 6th ACM SIGSPATIAL International Workshop on Computational Transportation Science.
Rigby, M., Winter, S. (2012), Timegeographic Querying of Mobile Information Databases for Travel Planning Purposes, International Conference on Connected Vehicles and Expo (ICCVE) 2012. IEEE, Beijing, China.
Travel planning in highly dynamic transportation networks; networks encountering events at any time, requires communication capabilities and planning flexibility from all travelling entities. In this paper we suggest and test a novel information dissemination strategy, which computes the relevance of pieces of information based on smart methods borrowed from timegeography. We will demonstrate that these methods lead to more efficient communication and effective travel planning than current methods.
Please contact one of the authors for a copy.