The 2017 Winter School will be held in Nanyang Executive Centre on the campus of Nanyang Technological University, Singapore. It is organized by the School of Electrical and Electronic Engineering at NTU and the IEEE Control Systems Society Technical Committee on Smart Cities, technically co-sponsored by the Smart Mobility Experience Lab (SMEL) at NTU, the Centre of INFINITUS at NTU, and the IEEE Control Systems Society. It will provide an overview of the latest technical progress related to intelligent transportation via realistic case studies delivered by well-known scholars, active researchers and practitioners, and present challenges and opportunities for future research and applications. Moreover, it will provide an opportunity for all participants to gain some hands-on experience via realistic projects in a hackathon, and a networking opportunity to set up research collaborations with government agencies such as SNPO, LTA, MOT, iDA, EDB, A*STAR, and local research institutes and companies. Essentially, the school will cover the following topics: Smart transportation – challenges and opportunities Big data analytics and cognitive analytics Modeling of multi-modal transportation electrification Coordinated signal control and sensing Road pricing for traffic equilibrium via games Introduction to V2X applications and services Introduction to simulation tools to plan a future city Integration of electrical vehicles in microgrid Platooning Hackathon All participants will participate in a hackathon competition, in which participants will form teams to work on different projects, either chosen from a list provided by the organizers or proposed by the participants themselves. The goal is to develop relevant technologies and tools to tackle different aspects of a traffic control system, which could be about, but not limited to, signal processing, data analytics, modeling and simulation, traffic signal control, route planning and traffic prediction. All these developed gadgets shall be demonstrated via either simulations or field tests. The winter school organizers will provide the following resources: A 4-way junction equipped with traffic lights, which can be controlled via network connections from the Smart Mobility Experience Lab (SMEL). Users can load their control algorithms to a server in SMEL, and observe the effectiveness of their algorithms via a real-time camera monitoring system in SMEL. There will be technical staff on the site to assist participants to set up connections between their algorithms with the traffic light controller. Basic Safety Message (BSM) signals from vehicles equipped with Onboard Units (OBU). Each message contains the following information: msgCnt: MsgCount, id: TemporaryID, secMark: DSecond, lat: Latitude, long: Longitude, elev: Elevation, accuracy: PositionalAccuracy, transmission: TransmissionState, speed: Speed, heading: Heading, angle: SteeringWheelAngle, accelSet: AccelerationSet4Way, brakes: BrakeSystemStatus, size: VehicleSize There will be at least two school shuttle buses having OBUs installed, which circulate on the campus. More vehicles could be possible. Users may decide how to use them to benefit their traffic management projects. Cameras installed on each traffic light, which can be used by users for data analytics, e.g., to determine the volume of each link or the queue length, or velocity. There are two cameras currently installed, each of which can have up to 10 live streaming processes running simultaneously. Nevertheless, owing to the network bandwidth restriction, there could be some time delay. In principle, a couple of more cameras can be installed, depending on the need, which requires approvals from the organizers in advance. Some budget for extra sensors or equipment, which users need to apply for at least two weeks in advance by sending their project proposals to the organizers, and upon approval from the organizers, can be used for the project demonstration purpose. A weekly network license of VISSIM provided by PTV, which can host up to 15 users. It can be used for simulation-based demonstrations. Users can directly use this license on their own computers. There will be no additional computers provided by the organizer. Real-time and/or historical traffic data. Users can obtain real-time traffic data from DataMall in MyTransport.SG for their project development. An approval from the Land Transportation Authority (LTA) is required, which can be done in advance. The organizers will also provide historical traffic data from a region in Singapore, which will be announced on the first day of the winter school. The following is a list of possible topics that could be interesting to local companies and research institutes. Participants are encouraged to develop their projects that cover some topics. Nevertheless, participants should not be restricted by those topics. Camera-based algorithms that can estimate system parameters such as link volumes, queue length or vehicle velocity, etc. in real-time. Data analytic techniques that can identify traffic patterns and provide suitable prediction capability. V2V/V2X communication strategies that allow information sharing within the network to improve traffic awareness and management. Simulation-based techniques for traffic prediction, parameter estimation, and control. Real-time coordinated traffic signal control. It is understandable that all project results may be shared with the NTU-NXP Smart Mobility Test Bed Program for future demonstration purposes under mutual agreements.
