Smart City & Mobility Innovations: Pitches

Demonstration of integration of mathematical techniques developed within the ORESTE Associate Team between UC Berkeley and Inria, to decision support for smart mobility in urban areas.

This project shows an by request transport system consisting of several autonomous shuttles evolving independently in an urban environment. The vehicles are equipped with sensors used to map the environment and perform ego-localization but also to detect dynamic obstacles on their paths. These cooperative vehicles can coordinate their actions locally by V2V communications and plan their global actions by V2I communication with the local operator.

We use machine learning approaches to model human driving. The driver models are then used in two applications:
1. make driving assistance systems less intrusive;
2. teach an autonomous car to reproduce various driving styles.
We will show videos of tests performed on our research vehicle.

Massive amounts of Linked Open Data, such as those being produced and exchanged in digital cities, require efficient data processing tools to cope with the scale. We demonstrate CliqueSquare, an open-source RDF query processor we developed on top of the Hadoop distributed computing system. CliqueSquare's advantage is to maximize parallelism when processing large join queries.

The coupling between numerical modeling and observation of air quality allows us to improve air pollution mapping over a city. Our research results on this coupling are deployed by the SME Numtech in several French cities. This research is being adapted for noise pollution at city scale.

We propose a demonstration of The VITAL platform.
This platform erases the frontiers between the silos that confine connected devices for specific applications only to allows heterogeneous data to be shared and enhanced services.

The OpenWSN project is an open-source implementation of a fully standards-based protocol stack for low-power wireless mesh networks, rooted in the new IEEE802.15.4e Time Synchronized Channel Hopping standard. Its goal is to provide an easy-to-use IoT experience, while implementing cutting-edge technology. IEEE802.15.4e, coupled with Internet of Things standards, such as 6LoWPAN, RPL and CoAP, enables ultra-low-power and highly reliable mesh networks which are fully integrated into the Internet. The resulting protocol stack is quickly becoming a cornerstone to the Industrial IoT revolution. The OpenWSN protocol stack is ported to 11 popular low-power wireless platforms, and features the OpenSim simulator/emulator. The project, co-lead by Inria and UC Berkeley, promotes and contributes to standards-based protocols for the Internet of Things, in particular through the work at the IETF 6TiSCH working group.

The RIOT operating system will be demonstrated on devices based on small memory, low-power microcontrollers and radio transceivers. RIOT will enable interoperation of heterogeneous IoT hardware using the latest IETF/IRTF protocols (including 6TiSCH, 6LoWPAN/IPv6) and content-centric networking.

The Urban Civics Project aims at providing a platform that both leverages and motivates citizen engagement in urban-scale environment monitoring through participatory sensing and crowd sourcing to generate, collect, and process the big data involved in a scalable manner by exploiting data assimilation techniques.
Once data is acquired and made available in understandable formats, the now better-informed citizens can take part in the decision making process that is usually performed by isolated technocratic institutions or civic authorities.

The AppCivist Project seeks to build a middleware platform for democratic assembly and collective action that lets users (and especially social activists) make their own applications, called Assemblies, with modular components.
The components support a wide range of civic engagement practices such as proposal making, deliberation, versioning, voting, alerting, networking, and mapping. When assembled, they help people engage issues and places in their city