Welcome to Su Rong's Homepage
Workshop in IEEE CDC'18: Smart Buildings - A Status Quo Check
Date and Location: December 16, 2018, Fontainebleau in Miami Beach, Florida, USA
Click here for more information.
Organizers:
2018 Summer School on Smart Cities
Date and Location: July 2-6, 2018, Stockholm
Organizing Committee
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Invited session in IEEE CCTA'18: Regulating Traffic in Smart Cities
Date/Time and Location: August 23, 2018, 10:00-12:00, Track 2, Christiansborg
Organizers:
Invited session in IEEE CCTA'17: Systems and Control Methods for Smart Cities - From Mobility to Social Networks
Date/Time and Location: August 29, 2017, 13:30-15:30, Track 6, Ballroom II
Organizers:
Congratulations to Farnaz, who is the 2017 EEE Doctorate Research Excellence Award winner!
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Workshop in IEEE CDC'16: WS07 - Rich Data Backed Control and Optimization for Smart Cities
Date/Time and Location: December 11, 8:20 AM - 6:00 PM, Ironwood 7
Organizers:
More details about the program can be found at http://smart-cities.ieeecss.org/tc-smart-cities/ieee-cdc16-workshop
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Date and Location: December 16, 2018, Fontainebleau in Miami Beach, Florida, USA
Click here for more information.
Organizers:
- Rong Su, (Nanyang Technological University, Singapore)
- Christos Cassandras, (Boston University)
2018 Summer School on Smart Cities
Date and Location: July 2-6, 2018, Stockholm
Organizing Committee
• Jonas Martensson, KTH, Sweden, Email: jonas1@kth.se
• Karl Henrik Johansson, KTH, Sweden, Email: kallej@kth.se
• Rong Su, Nanyang Technological University, Singapore, Email: rsu@ntu.edu.sg
• Mohammad Pirani, KTH, Sweden, Email: pirani@kth.se
Organizers • Karl Henrik Johansson, KTH, Sweden, Email: kallej@kth.se
• Rong Su, Nanyang Technological University, Singapore, Email: rsu@ntu.edu.sg
• Mohammad Pirani, KTH, Sweden, Email: pirani@kth.se
• School of Electrical Engineering and Computer Science, KTH
• Integrated Transport Research Lab, KTH
Technical co-sponsors• Integrated Transport Research Lab, KTH
• IEEE Control Systems Society (CSS)
• IEEE CSS Technical Committee on Smart Cities
• Transportforetagen
• IEEE CSS Technical Committee on Smart Cities
• Transportforetagen
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Invited session in IEEE CCTA'18: Regulating Traffic in Smart Cities
Date/Time and Location: August 23, 2018, 10:00-12:00, Track 2, Christiansborg
Organizers:
- Fumin Zhang, (Georgia Tech, USA)
- Rong Su, (Nanyang Technological University, Singapore)
- (Samuel) Qing-Shan Jia, (Tsinghua University, China)
Invited session in IEEE CCTA'17: Systems and Control Methods for Smart Cities - From Mobility to Social Networks
Date/Time and Location: August 29, 2017, 13:30-15:30, Track 6, Ballroom II
Organizers:
- Christos Cassandras, (Boston University)
- Rong Su, (Nanyang Technological University, Singapore)
Congratulations to Farnaz, who is the 2017 EEE Doctorate Research Excellence Award winner!
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Workshop in IEEE CDC'16: WS07 - Rich Data Backed Control and Optimization for Smart Cities
Date/Time and Location: December 11, 8:20 AM - 6:00 PM, Ironwood 7
Organizers:
- Rong Su, (Nanyang Technological University, Singapore)
- (Samuel) Qing-Shan Jia (Tsinghua University, Beijing, China)
Speakers: Christos G. Cassandras (Boston University, USA), Tariq Samad
(University of Minnesota/Honeywell, USA), Karl H. Johansson (KTH,
Sweden), Costas Spanos (University of California, USA), Ardalan Vahidi
(Clemson University, USA), Cedric Langbort (University of Illinois at
Urbana-Champain, USA), Yong Liang Guan (Nanyang Technological
University, Singapore), Necmiye Ozay (University of Michigan, USA),
Yilin Mo (Nanyang Technological University, Singapore), Fei Miao
(University of Pennsylvania, USA), Rong Su (Nanyang Technological
University, Singapore), (Samuel) Qing-Shan Jia (Tsinghua University,
Beijing, China)
Abstract: A smart city is an urban development vision to integrate
multiple information and communication technology (ICT) solutions in a
secure fashion to manage a citys assets. The goal of building a smart
city is to improve quality of life by using technology to improve the
efficiency of services and meet residents needs. Control and
optimization techniques have been playing a major role in this grand
endeavour. In this workshop several active researchers in this field
will report their recent technical progresses at both individual and
program levels on transportation systems, smart buildings,
cyber-security, formal synthesis in power management, and some
visionary discussions on the role of cybernetics and domain
integration, aiming to showcase some recent achievements and at the
same time identify challenges ahead in order to arouse more interests
and efforts at a broader societal level to ensure research
sustainability.
Target Audience: This workshop consists of two types of presentations:
(1) reports of recent individual research progresses on specific
topics, e.g., transportation systems, building management,
cybersecurity, formal synthesis, and visionary discussions, and (2)
showcases of a couple of major research efforts around world on smart
transportation and smart buildings. The first type of presentations may
require audience to have some technical background in modeling, control
and optimization, thus, suitable for researchers and senior graduate
students in relevant fields. The second type of presentations is
accessible to all kinds of audience, e.g., researchers, engineers and
undergraduate/graduate students, due to their illustration nature with
minimum technical exposures. To help registered audience better
understand the presented materials, a printout of each presentation
will be disseminated during the workshop.
More details about the program can be found at http://smart-cities.ieeecss.org/tc-smart-cities/ieee-cdc16-workshop
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2017 Winter School on Intelligent Transportation (Jan. 16 - 20, 2017, NTU)
Organizers:
- Dr Su Rong, NTU, Chair of IEEE CSS TC on Smart Cities
- Karl Henrik Johansson, KTH, Co-Chair of IEEE CSS TC on Smart Cities
http://www.eee.ntu.edu.sg/NewsnEvents/WSlIS2017/Pages/Home.aspx.
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 an 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.
The Winter School Group Picture can be found here.