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1 Create Way
Singapore, 138602
Singapore

Research project within TUM CREATE. Focussing on modelling and optimisation of architecture and infrastructure, urban systems simulation like traffic and power are the main research interests. Apart from that, a cognitive systems group deal with human computer interaction. 

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Blog

How will the charging of electric vehicles affect Singapore’s power grid?

Vaisagh Viswanathan

The large-scale introduction of plug-in electric vehicles (PEV) may pose challenges to power system operators by causing grid congestion or voltage fluctuations. In a previous post we presented a simulation framework consisting of a traffic simulation coupled to a power system simulation allowing investigating the impact of electric vehicle charging on the power grid. In this post we present a first application of this approach to the case of Singapore.

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Modelling of qualitative linguistic spatial terms for Human-Robot Interactio

Vaisagh Viswanathan

In our group we address the symbol anchoring problem by (1) exploring mixed symbolic and geometric representations that allow a robot to integrate information coming from different sources (verbal communication, sensors, background knowledge, etc.), (2) development of geometrical models of spatial terms as qualitative spatial relations or route instructions. This blogpost focuses on the later.

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First glimpse of the effect of uncertainty on charging behaviour

Vaisagh Viswanathan

As an application to the previous article, we examine how uncertainty influences charging behaviour. Due to limited range and long charging time of electric vehicles (EVs),  the range anxiety phenomenon occurs in situation where the user might not reach the destination when low on battery (M. Nilsson 2011). While internal and personal factors are important factor regarding range anxiety (N. Rauh et al. 2014), we focus on external factors. Understanding charging behaviour will enable more optimal deployment of charging stations. In this article, the effect of uncertainty on charging behaviour is addressed using  a serious games approach or a game-based experiment.

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On Identifying Highly Dynamical And Mismatched Intersections in a Road Network

Vaisagh Viswanathan

This articles describes measures that are used to locate problematic sensitive locations in a road network, such as mismatched and highly dynamical intersections, which serve as intrinsic sources of congestion. By pointing them out directly, traffic optimisation techniques can be applied locally in order to resolve larger problems on a city scale.

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Real Time Traffic State Estimation And Short Term Prediction

Daniel Zehe

Increasing availability of floating car data both historic and in the form of trajectory datasets and real-time in the form of continuous data stream paves way for data driven traffic simulations. Continuous data streams from floating cars along with historic datasets can be used for purposes such as current traffic state estimation, incident detection and predicting short term evolution of traffic using simulations.

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How the use of information affects traffic systems

Daniel Zehe

The availability of new real time traffic information sources and communication possibilities has increased in the recent years with a broader distribution of personal smart devices. An increasing number of traffic participants rely on navigation tools and applications on smart devices to access real time traffic information, forecasts, guidance and support. The flow of data goes in two ways. By using these applications to access information, the traffic participants provide data trough participatory sensing. In this context, there is a large amount of transportation data that is processed and the information is made available in real time to people.

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