Every year, on 2nd August many transport researchers from around the work feel utterly relieved after they successfully submitted their papers for presentation at the Annual Meeting of Transportation Research Board. The meeting, which actually is the by far biggest conference in our field takes place every year in Washington D.C. in January of the following year.
Sometimes I ask myself what’s to point of going to conference in an age where researchers are not even present one but often even several social networks that are purely dedicated to scientists and constant bombardment of Tweets, Facebook updates and new blogposts ;-).
But being at TRB is always special to me. Not only it is great to catch up with colleagues in persons to informally exchange and spin new ideas, there are also always those chance acquaintanceships that make personal and research life so much richer. And checking out the mood of a city just before a new president (blonde for sure, but hopefully not male) is inaugurated is also always special.
Enough small talk, here come in an exclusive sneak peek the three submissions from people related to the Engaging Mobility group at the Future Cities Laboratory of the Singapore ETH Centre. My great co-authors and are looking forward to hopefully positive constructive points for critique from the reviewers, but also are curious on your comments!
Visualizing Transport Futures: the potential of integrating procedural 3d modelling and traffic micro-simulation in Virtual Reality applications
In this paper we elaborate on potential use cases of Virtual Reality (VR) in transportation research and planning and present how we integrated procedural 3D modelling and traffic micro-simulation with the rendering capabilities of a game engine in a semi-automated pipeline.
Through a review of potential practical applications, we present how this pipeline will be employed to distil behavioural evidence that can guide planners through dilemmas when designing future cycling infrastructure. At the same time, we are studying efficacy of VR as a method for assessing perceptual behaviour as opposed to traditional methods of visualization. Concretely, we present how the pipeline can be adapted i) to generate parameterised visualisations for stated preference surveys, ii) as a platform for a cycling simulator and iii) to communicate different design scenarios for stakeholder engagement. The flexibility of procedural programming allows discretionary changes to the street design and the traffic parameters. Through this experience of developing procedural models, traffic microsimulations and ultimately VR models for streets in Singapore, we find that visual and temporal feedback enabled by VR makes several important design parameters observable and allows researchers to conduct new types of behavioural surveys to understand how people will respond to different design options. In addition, we conclude that such VR applications open new avenues for citizen engagement and communication of urban plans to stakeholders.
Introducing the Pedestrian Accessibility Tool (PAT): open source GIS-based walkability analysis
The indices for walkability proposed so far are mostly ad-hoc and refer generally to the closest amenities/public transport stops and the existing network structure. They are ad-hoc as the weights of the attributes are generally arbitrary and do not reflect the independently measured preferences of the users and residents. Furthermore, they do not include design attributes such as the location of crossings and walkway design features, which are very relevant for actual planning decisions.
In this paper, we propose a walkability index that can be behaviorally calibrated and has been implemented as a GIS tool and is published as Open Source software. The Pedestrian Accessibility Tool allows evaluating existing and future urban plans with regards to walkability. It calculates Hansen-based accessibility indicators based on customizable specification of generalized walking cost and user-defined weights of destination attractiveness.
Simulation of autonomous taxis in a multi-modal traffic scenario with dynamic demand
Given the rapid technological advances in developing autonomous vehicles (AV), the key question appears not so much anymore how, but when AVs would be ready to be commercially introduced. Therefore, it is very timely to explore how the new way of travelling will shape the traffic environment in the future. Questions regarding the environmental impact, changes in infrastructure and policy measures are widely discussed. Most likely, the introduction of AVs will not only add an option to the traveller’s choice of means of transport, but also shape how people interact with the traffic environment. From a transport planning point of view, key questions concerning the introduction of AVs as a new means of transport are how it will influence travel behaviour, how supply and demand for AV will balance, how it impacts the viability of existing public transport services and how AVs will impact congestion and demand for parking.
In this report, a new simulation framework based on MATSim is presented, allowing for the simulation of AVs in an integrated, network- and population-based traffic environment. The demand evolves dynamically from the traffic situation rather than being a static constraint as in numerous previous studies. This allows for the testing of various scenarios and concepts around the introduction of AVs while taking into account their feedback on the travellers’ choices and perceptions.
Using a realistic test scenario, it is shown that even under conservative pricing a large share of travellers is attracted by autonomous vehicles, though it is highly dependend on the provided fleet size. For sufficiently large supplies it has been found that for the autonomous single-passenger taxis in this report the vehicle miles travelled increase up to 60%.