Prof Louis Phee
Dean, College of Engineering, Nanyang Technological University (NTU)
Biography: Dr Louis Phee is Professor of Mechanical Engineering. He is currently the Dean of College of Engineering, Nanyang Technological University Singapore. He served as Chair, School of Mechanical & Aerospace Engineering until 2017. His research interests include Medical Robotics and Mechatronics in Medicine. He had served as the Program Manager of A*STAR’s inaugural MedTech Program. Currently, he is also the CEO of EndoMaster Pte Ltd, a company he co-founded to commercialize a surgical robotic system he developed. Dr Phee was awarded the Young Scientist Award 2006, the Outstanding Young Persons of Singapore Award 2007, the Nanyang Outstanding Young Alumni Award 2011, Nanyang Innovation and Entrepreneurship Award 2013 and the President’s Technology Award 2012. In 2005, he was awarded the Best Paper Award at the prestigious IEEE International Conference on Robotics and Automation. He has published over 60 international journals and book chapters and has licensed out more than 10 intellectual properties.
Mr. Pee Beng Kong
Director, Economic Development Board
Biography: Mr. Pee Beng Kong is presently the Director for Electronics of Singapore Economic Development Board (EDB). In his current role, he oversees the promotion and development of the Electronics industry in Singapore.
Prior to his current appointment, he was EDB’s Director for Infocomms & Media from 2013 to 2015. Beng Kong was previously based in Beijing, China as EDB’s Regional Director overseeing EDB’s investment promotion efforts across North & West China as well as Taiwan. Before that, he was also part of EDB’s investment promotion team for Asia Pacific, Middle East and Europe, and was responsible for promoting Singapore as a preferred investment location for companies in these regions.
Beng Kong has also been involved in EDB’s industry development activities for the electronics and precision engineering sectors. As a senior officer, he interacted with global companies to understand their business priorities and attracted key investments to Singapore, helping to grow the electronics and precision engineering sectors in the country. Today, the electronics industry is a key industry supporting Singapore’s economic growth – it was the largest contributor to the country’s GDP from the manufacturing sector at seven percent in 2010.
Beng Kong is a Siemens-EDB scholar, with a Bachelor’s degree in Electrical Engineering and Information Technology from the Technical University of Munich, Germany. He also graduated with Auszeichnung (summa cum laude) with a Diplom (Master of Science) specialising in Communications and Computer Engineering from the same university.
Beng Kong is married with two children.
Mr. Andrew Turley
Senior Director of Innovation & V2X Business Development, NXP
Biography: Andrew Turley is Senior Director of Innovation & V2X Business Development for the Automotive business unit at NXP Semiconductors, the global market leader in automotive technologies including car infotainment; radar and V2X.
In this role, Andrew is responsible for business and innovation management within the
Infotainment and Driver Assistance business line at NXP and focuses on business strategy and technology development for automotive products in the future.
Prior to joining NXP in 2008, Andrew was in various leadership positions with Philips Research and Philips Semiconductors, developing key technologies for Broadcast Reception Systems in cars.
He began his career in research, engineering design & architecting integrated circuits for automotive and consumer audio / radio circuits; later specialized in project management of complete teams with US car customers.
Prof Guan Yong Liang
Nanyang Technological University
Abstract: Direct V2V communication and V2I communication at 5.9 GHz are new communication paradigm that will soon become reality, with car makers such as General Motors and Volkswagen putting on-board units into new vehicles before market, and with Singapore introducing new electronic road pricing system based on GPS and DSRC after Year 2020. Being a radio technology, direct V2V communication suffer from signal obstruction and hidden node problems in certain environment. Limited by transmission power and channel resource, multi-tier multi-hop communication may be required for certain V2V or V2I use cases. I will briefly describe how we tackle these challenges using relaying and network coding techniques, and demonstrate our solutions on commercial-grade V2X modules operating in vehicles on the move.
Biography: Dr. Yong Liang GUAN (http://www.ntu.edu.sg/home/eylguan/) obtained his PhD degree from the Imperial College of London, UK, and Bachelor of Engineering degree with first class honors from the National University of Singapore. He is a tenured associate professor at the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, where he now leads two industry collaboration labs: NTU-NXP Smart Mobility Lab, and Schaeffler Hub for Advanced Research (SHARE) at NTU. His research interests broadly include coding and signal processing for communication systems, data storage systems and information security systems. He has published an invited monograph, 3 book chapters, and over 400 journal and conference papers. He is an Associate Editor of the IEEE Transactions on Vehicular Technology. He has led 18 past and present externally funded research projects on V2X communication, wireless communication signal processing, coding for 10Tb/in^2 magnetic recording, acoustic telemetry for drilling application, etc., with total funding of over SGD 24 million. He has 2 granted patents.
Prof Lu Yilong
Nanyang Technological University
Abstract: There are different approaches to design and implement antennas for V2X communications, for example, using more individual narrow-band antennas or fewer wide-band antennas to support 7 bands or more (GNSS, DSRC, BT, Wi-Fi 2.4G, Wi-Fi 5G, LTE low, LTE high, etc.) communication applications. This talk will discuss the pros and cons of different approaches and show some design examples from this project, including multi-band shark fin antennas, low-profile wideband antennas, MIMO antennas on vehicles, and novel antenna designs for road side unit (RSU).
Biography: Dr. LU Yilong (http://www.ntu.edu.sg/home/eylu) obtained his PhD degree from University College London (UK), and M.Eng degree from Tsinghua University (China), and B.Eng degree from Harbin Institute of Technology (China). He is a full professor in the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. His research interests include antennas, array signal processing, new radar concepts, radar sensing and applications. Dr. Lu is a recipient of 2012 IEEE AP-S S.A. Schelkunoff Prize Paper Award and Excellent Paper Awards from Radar 2011, Radar 2006, and IEEE MAPE 2013. Dr. Lu is a Fellow of IEEE, the International Director (Singapore) and a member of Nominations & Appointments Committee for IEEE Aerospace and Electronic Systems Society, an Editorial Board member for the research journal IET Radar, Sonar & Navigation, the current Chair for IEEE Singapore Aerospace and Electronic Systems / Geoscience and Remote Sensing Joint Chapter. In the past, he served as the General Chair for 2009 Asia Pacific Microwave Conference, Technical Program Chair for 2015 Asia Pacific Conference on Synthetic Aperture Radar, and the Chair (2017) for IEEE Singapore Microwave Theory and Techniques /Antenna and Propagation Joint Chapter.
Prof Tay Wee Peng
Nanyang Technological University
Abstract: Vehicle self-positioning is important for intelligent transportation applications. However, accurate positioning with lane-level accuracy may be difficult to obtain if there is no access to a global navigation satellite system (GNSS). In this talk, we present an information fusion algorithm based on a particle filter to achieve lane-level tracking accuracy under a GNSS-denied environment. We consider the use of both coarse scale and fine scale signal measurements for positioning. Time-of-arrival measurements using the radio frequency signals from known transmitters or roadside units, and acceleration or gyroscope measurements from an inertial measurement unit (IMU) allow us to form a coarse estimate of the vehicle position using an extended Kalman filter. Subsequently, fine scale measurements including lane-change detection, radar ranging from the known obstacles (e.g., guardrails) and information from a high-resolution digital map are incorporated to refine the position estimates. A probabilistic model is introduced to characterize the lane changing behaviors and a multi-hypothesis model is formulated for the radar range measurements to robustly weigh the particles and refine the tracking results. The performance of the proposed tracking framework is verified by simulations and real measured IMU data in a four-lane highway.
Biography: Dr Tay Wee Peng received the B.S. degree in Electrical Engineering and Mathematics, and the M.S. degree in Electrical Engineering from Stanford University, Stanford, CA, USA, in 2002. He received the Ph.D. degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology, Cambridge, MA, USA, in 2008. He is currently an Associate Professor in the School of Electrical and Electronic Engineering at Nanyang Technological University, Singapore. His research interests include distributed inference and signal processing, sensor networks, social networks, information theory, and applied probability.
Dr. Tay received the Singapore Technologies Scholarship in 1998, the Stanford University President’s Award in 1999, the Frederick Emmons Terman Engineering Scholastic Award in 2002, and the Tan Chin Tuan Exchange Fellowship in 2015. He is a coauthor of the best student paper award at the Asilomar conference on Signals, Systems, and Computers in 2012, and the IEEE Signal Processing Society Young Author Best Paper Award in 2016. He is currently an Associate Editor for the IEEE Transactions on Signal Processing, an Editor for the IEEE Transactions on Wireless Communications, serves on the MLSP TC of the IEEE Signal Processing Society, and is the chair of DSNIG in IEEE MMTC. He has also served as a technical program committee member for various international conferences.
Prof Kin K Leung
Imperial College London
Abstract: Since the ratification of the IEEE 801.11b standard in 1999 (less 20 years ago!), Wi-Fi has been widely used throughout the world and become a household name of the technology for wireless local-area networking of devices based on the IEEE 802.11 standards. The IEEE standards have evolved from the original 802.11, 802.11a, 802.11b, 802.11g, 802.11n, 802.11ac, 802.11p and so on over time. In this talk, the speaker will present a personal Wi-Fi journey as he worked on various aspects of the Wi-Fi networks. First, the 802.11 standard was originally developed for local-area networks in indoor environments. It was not entirely clear how the standardized radio designs and protocols would work when Wi-Fi is applied to outdoor environments where the link distance, signal propagation and radio conditions are very different from those for indoor usage. The speaker will summarize some of his work in the early days that the 802.11b standard could work reasonably well in outdoor. The surprising results have motivated telecom giants to re-evaluate the Wi-Fi capability and start-up companies to develop related products. Second, due to the design of the MAC protocol and channelization of the radio spectrum in the 802.11 standards, the traditional ways of channel allocation (e.g., coloring methods to keep co-channel interference satisfactorily low) is not efficient any more. This part of the talk will summarize a new way to assign radio channels to neighboring access points which incorporates the contention effects of the MAC protocol. In the last part of the talk, the speaker will discuss how one could improve the performance of the 802.11p standard, which was developed for wireless communications among vehicles, the so-called vehicular ad-hoc networks (VANETs). Specifically, a technique to adapt the contention window according to the vehicle density will be shown to improve throughput performance. Related ideas for future research will also be discussed.
Biography: Kin K. Leung received his B.S. degree from the Chinese University of Hong Kong in 1980, and his M.S. and Ph.D. degrees from University of California, Los Angeles, in 1982 and 1985, respectively. He joined AT&T Bell Labs in New Jersey in 1986 and worked at its successor companies, AT&T Labs and Bell Labs of Lucent Technologies, until 2004. Since then, he has been the Tanaka Chair Professor in the Electrical and Electronic Engineering (EEE), and Computing Departments at Imperial College in London. He serves as the Head of Communications and Signal Processing Group in the EEE Department at Imperial. His research focuses on networking, protocols, optimization and modeling issues of wireless broadband, sensor and ad-hoc networks. He also works on multi-antenna systems and cross-layer optimization of these networks.
He received the Distinguished Member of Technical Staff Award from AT&T Bell Labs in 1994, and was a co-recipient of the 1997 Lanchester Prize Honorable Mention Award. He was elected as an IEEE Fellow in 2001. He received the Royal Society Wolfson Research Merits Award from 2004 to 2009 and became a member of Academia Europaea in 2012. Along with his co-authors, he also received a number of best paper awards at major conferences, including the IEEE PIMRC 2012 and ICDCS 2013. He serves as a member (2009-11) and the chairman (2012-15) of the IEEE Fellow Evaluation Committee for Communications Society. He was a guest editor for the IEEE JSAC, IEEE Wireless Communications and the MONET journal, and as an editor for the JSAC: Wireless Series, IEEE Transactions on Wireless Communications and IEEE Transactions on Communications. Currently, he is an editor for the ACM Computing Survey and International Journal on Sensor Networks.
Prof Sonia M Heemstra
Eindhoven University of Technology
Abstract: Enhancing cars with communications facilities offers many safety, comfort, and environmental benefits but also brings major challenges. In particular, when we think of autonomous cars in important to realize that as the level of autonomy increases, so does the need to communicate with the surrounding environment. Each car will become part of a complex system that involves many other vehicles and that heavily relies on the communication substrate. Cars will need to communicate with other cars and road users, road-side infrastructure, networks and data centers (all these known as V2X communication) imposing stringent requirements on the availability and reliability of wireless communications. This talk with discuss those communications requirements and present some directions for solutions to meet them. The talk will also play attention to the properties of different wireless technologies and networks, and to their combinations in heterogeneous networks for reliability and performance purposes.
Biography: Sonia Heemstra de Groot holds M.Sc. degrees in Electrical Engineering from Universidad Nacional de Mar del Plata, Argentina and Philips International Institute/NUFFIC, The Netherlands. She obtained the Ph.D. degree in Electrical Engineering at the University of Twente, The Netherlands, in 1990. Since 2012 she is a full professor at Eindhoven University of Technology where she holds the part-time chair in Heterogeneous Network Architectures. In September 2016 she became the director of the Center for Wireless Technology Eindhoven. Before she has held assistant and associate professor positions at the University of Twente and a full-professor position at the Delft University of Technology in Personal and Ambient Networking. After having worked some years as a senior researcher at Ericsson EuroLab, The Netherlands, she co-founded the Twente Institute for Wireless and Mobile where she has been Chief Scientist from 2003 to 2014. Her expertise and interests are in the areas of wireless and mobile communications, 5G, vehicular networks, wireless indoor communications, Internet of Things, and wireless security.
Prof Henk Wymeersch
Chalmers University of Technology
Abstract: Positioning of devices using radio-frequency signals has been realized in a variety of dedicated systems, including LORAN-C and GPS for outdoor positioning, as well as ultra-wide band and WiFi for indoor positioning. A cheaper solution is offered through cellular radio signals, but suffer from low accuracy. Consequently, their main application has been limited to the (mandatory) localization of emergency calls. With the introduction of 5G, we believe that a new era for cellular positioning is coming. Thanks to the technological components of 5G (i.e., the use of large carrier frequencies, large bandwidths, large antenna arrays, network densification, and device-to-device communication) 5G systems can be the first generation offering high-accuracy localization, together with high coverage while maintaining low cost. This talk will describe the main benefits of 5G from a positioning perspective, and show it can lead to radically new designs. We focus on tracking of vehicles using downlink signals from a single 5G base station in a dense multipath environment, considering aspects of synchronization, heading estimation, map building and map exploitation.
Biography: Henk Wymeersch is a Professor in Communication Systems with the Department of Electrical Engineering at Chalmers University of Technology, Sweden. He is also affiliated with the FORCE research center on fiber-optic communication. Prior to joining Chalmers, he was a Postdoctoral Associate during 2006-2009 with the Laboratory for Information and Decision Systems at the Massachusetts Institute of Technology. Henk Wymeersch obtained the Ph.D. degree in Electrical Engineering/Applied sciences in 2005 from Ghent University, Belgium. For his thesis, he received the 2006 Alcatel Bell Scientific Award. Additional awards include an ERC Starting Grant, a fellowship from the Belgian American Educational Foundation, as well as several best paper awards, and a “PhD supervisor of the year“ award. He is a member of the IEEE, and served as Associate Editor for IEEE Transactions on Communications (2016-2018), IEEE Transactions on Wireless Communications (2013-present), for IEEE Communication Letters (2009-2013) and the Transactions on Emerging Telecommunications Technologies (ETT) (2011-2016). He served as Guest Editor for several special issues on radio localization and served as General Chair of the 2015 International Conference on Localization and GNSS. He has co-authored over 100 contributions in journals and international conferences, and is the author of Iterative Receiver Design (Cambridge University Press, August 2007). His research interests include cooperative networks, radio-based localization and mapping, and intelligent transportation.
Prof Jonas Martesson
KTH Royal Institute of Technology
Title: Cooperative Control of Truck Platoons
Abstract: Platooning has been shown to greatly reduce the fuel consumption and CO2 emissions of heavy-duty vehicles. However, to achieve safe and energy-efficient operation of the platoons they need to be real-time coordinated and they need to have access to preview information and be able to share data between the vehicles. This talk will present challenges and possible solutions related to truck platooning, both from novel research results and from the current development of multi-brand platooning pilots in Sweden and Europe together with the automotive industry.
Biography: Jonas Mårtensson is associate professor with the Integrated Transport Research Lab and the Department of Automatic Control at KTH. He received the MSc degree in vehicle engineering in 2002 and the PhD degree in automatic control 2007, both from KTH. He received the docent title in 2016.
Between 2008 and 2012 he worked on modeling, control and optmization of the transient torque response in combustion engines, utilizing variable geometry turbines and variable valve timings. During this time he was supervising the doctoral student Oscar Flärdh.
Since 2011 his main research is within cooperative and autonomous transports, in particular related to heavy-duty vehicle platooning. He is involved in several collaboration projects with Scania CV in Södertälje, dealing with collaborative adaptive cruise control, look-ahead platooning, route optimization and coordination for platooning, path planning and predictive control of autonomous heavy vehicles, and related topics. Within these projects he is supervising the doctoral students Manne Held, Goncalo Pereira, Alexander Johansson and Yuchao Li, and he is a co-supervisor or Pedro Lima, Valerio Turri, Mladen Cicic, Rui Oliveira and Joana Fonseca.
Jonas Mårtensson is a research leader for the area of Connected and Automated Transport at the KTH Integrated Transport Research Lab.
Jonas Mårtensson is co-director for the KTH Smart Mobility Lab.
Jonas Mårtensson is thematic leader for the area Transport in the Information Age within the KTH Transport Platform.
Prof Raymond W. Yeung
Co-Director, Institute of Network Coding, The Chinese University of Hong Kong
Title: Wireless Multi-hop Network for Smart Lampposts
Abstract: Smart lampposts have been widely recognized as a key infrastructure for smart cities. It is estimated that over 70 million smart lampposts will be installed worldwide by 2027, creating a global market of USD $8.3 billion. Equipped with networking interfaces, cameras and sensors, smart lampposts can provide a range of smart city functions, including intelligent transportation, autonomous driving, real-time surveillance and high-speed WiFi coverage on a city scale. In the future, 5G base stations may also be put on these lampposts.
The equipment on these lampposts must be connected to the Internet backbone. Ideally, each lamppost can be connected to the optical network. However, in a city environment, realistically it is possible to provide optical fiber connection to only a small number of lampposts. This is partly due to the high installation cost of optical fiber, but more importantly, it may take up to 2 to 3 years to obtain all the necessary permits before starting the deployment.
In principle, those lampposts that does not have optical fiber connection can be connected to those that have through a wireless multi-hop network. However, due to the accumulation of packet loss, with existing transmission technologies, the throughput of such a network drops exponentially fast with respect to the number of hops. Practically, it is very difficult to build a wireless network with more than 3 or 4 hops.
In this talk, we introduce BATched Sparse code (BATS code) as a solution to this challenge. BATS code is a rateless implementation of network coding. The advantages of BATS codes include low encoding/decoding complexities, high throughput, low latency, and low storage requirement. At the end of the talk, we will show a video demonstration of BATS code over a Wi-Fi network with 10 IoT devices acting as relay nodes.
Biography: Raymond W. Yeung received the BS, MEng and PhD degrees in electrical engineering from Cornell University in 1984, 1985, and 1988, respectively. He joined AT&T Bell Laboratories in 1988. Since 1991, he has been with CUHK, where he is currently Choh-Ming Li Professor of Information Engineering. A cofounder of the field of network coding, he has been serving as Co-Director of the Institute of Network Coding since 2010. He is the author of the books A First Course in Information Theory (Kluwer Academic/Plenum Publishers, 2002) and Information Theory and Network Coding (Springer 2008), which have been adopted by over 100 institutions around the world. In spring 2014, he gave the first MOOC in the world on information theory that reached over 25,000 students. His research interest is in information theory and network coding. He was a consultant in a project of Jet Propulsion Laboratory for salvaging the malfunctioning Galileo Spacecraft.
Professor Yeung was a member of the Board of Governors of the IEEE Information Theory Society from 1999 to 2001. He has served on the committees of a number of information theory symposiums and workshops. He was the General Chair of the First Workshop on Network, Coding, and Applications (NetCod 2005), a Technical Co-Chair of the 2006 IEEE International Symposium on Information Theory, a Technical Co-Chair of the 2006 IEEE Information Theory Workshop, Chengdu, and a General Co-Chair of the 2015 IEEE International Symposium on Information Theory.
Professor Yeung also has served on the editorial board of a number of academic journals. He was an Associate Editor for Shannon Theory of the IEEE Transactions on Information Theory from 2002 to 2005. He currently serves as an Editor-at-Large of Communications in Information and Systems, an Editor of Foundation and Trends in Communications and Information Theory and an Editor of Foundation and Trends in Networking.
He was a recipient of the Croucher Senior Research Fellowship for 2000/01, the Best Paper Award (Communication Theory) of the 2004 International Conference on Communications, Circuits and System, the 2005 IEEE Information Theory Society Paper Award, the Friedrich Wilhelm Bessel Research Award from the Alexander von Humboldt Foundation in 2007, the 2016 IEEE Eric E. Sumner Award, and the 2018 ACM SIGMOBILE Test-of-Time Paper Award. In 2015, he was named an Outstanding Overseas Chinese Information Theorist by the China Information Theory Society.
Professor Yeung was a Changjiang Chair Professor of Xidian University, an Advisory Professor of Beijing University of Posts and Telecommunications, and an Adjunct Professor of the Institute of Interdisciplinary Information Sciences at Tsinghua University. He is currently a Guest Professor of Southeast University. He is a Fellow of the IEEE, Hong Kong Academy of Engineering Sciences, and Hong Kong Institution of Engineers.
Prof Ma Maode
Nanyang Technological University
Abstract: As the major work in the project, we aim to investigate PKI-certificate management, dynamic group key management, forgery detection and trust evaluation of vehicles to make V2X communication secure and efficient. Different from other similar research projects around the world, our project is to develop and implement a test-bed to test various security schemes on the security functionality. We have put our efforts to investigate various theoretical research issues and test the solutions to examine their effectiveness and efficiency including the issues of pseudonyms changing mechanism for privacy, efficient revocation mechanism, and dynamic group key management, in real environment, thus to narrow down the gap between theory and practice of security enhanced technologies for IEEE 802.11p. The long term goal of this project is to provide a secure and trustworthy vehicular communication environment, making V2X technologies really benefit our daily life, not only in Singapore but also around the world. In addition, the students involved in this project will have sufficient opportunities to interact with industry. The knowledge and skills acquired through the project, on both theoretical and practical aspects, will prepare them well in a competitive job market with a strong demand from equipment and software vendors, service providers, and research labs.
Biography: Dr. Maode Ma received his BE degree in computer engineering from Tsinghua University in 1982, ME degree in computer engineering from Tianjin University in 1991 and Ph.D. degree in computer science from Hong Kong University of Science and Technology in 1999.
Dr. Ma is a tenured Associate Professor in the School of Electrical and Electronic Engineering at Nanyang Technological University in Singapore. He has extensive research interests including network security and wireless networking. He has led and/or participated in more than 20 research projects funded by government, industry, military and universities in various countries. He has been a general chair, technical symposium chair, tutorial chair, publication chair, publicity chair and session chair for over 100 international conferences. He has been a member of the technical program committees for more than 200 international conferences. Dr. Ma has about 380 international academic publications including about 180 journal papers and about 190 conference papers. He has edited 4 technical books and produced over 22 book chapters. He has delivered more than 50 keynote speeches and more than 10 tutorials at various international conferences. He currently serves as the Editor-in-Chief of International Journal of Computer and Communication Engineering and International Journal of Electronic Transport. He also serves as a Senior Editor for IEEE Communications Surveys and Tutorials, and an Associate Editor for International Journal of Security and Communication Networks, International Journal of Wireless Communications and Mobile Computing and International Journal of Communication Systems. He had been an Associate Editor for IEEE Communications Letters from 2003 to 2011. Dr. Ma is the Fellow of IET, a senior member of IEEE Communication Society and IEEE Education Society, and a member of ACM. He is the Chair of the IEEE Education Society, Singapore Chapter and the Chair of the ACM, Singapore Chapter. He has served as an IEEE Communication Society Distinguished Lecturer from 2013 to 2016.
Prof Su Rong
Nanyang Technological University
Abstract: The importance of effective urban traffic signal control can never be underestimated owing to the exponentially increasing traffic demands for economic development, which has been significantly constrained by increasingly saturated space. In this project we have developed traffic responsive signal control strategies for both vehicles and pedestrians based on V2X information. By adopting a novel traffic flow dynamic model we can effectively capture drivers’ responses to the duration of each relevant green period, upon which, by forecasting the traffic demands, a distributed signal control algorithm is utilized to real-time assign green periods to traffic lights in each junction. Identification of traffic congestion regions and forecasting of traffic congestions based on machine learning techniques are used, together with metaheuristic algorithms, to further reduce online computational complexity to ensure a real-time solution for a large traffic network within a distributed control framework. We have also investigated how pedestrians may affect the traffic network performance. To illustrate the effectiveness of our approaches, realistic VISSIM simulation case studies based on the traffic network at Jurong East have been developed. The outcomes clearly show the viability of our traffic signal control technology.
Biography: Dr Su Rong obtained his Bachelor of Engineering degree from University of Science and Technology of China, and Master of Applied Science degree and PhD degree from University of Toronto, respectively. He was affiliated with University of Waterloo and Technical University of Eindhoven before he joined Nanyang Technological University in 2010. Dr Su’s research interests include multi-agent systems, discrete-event system theory, model-based fault diagnosis, operation planning and scheduling with applications in flexible manufacturing, intelligent transportation, human-robot interface, power management and green buildings. In the aforementioned areas he has more than 150 journal and conference publications, 1 granted US patent, 1 filed Singapore patent and 3 technical disclosures, and has been involved in several projects sponsored by Singapore National Research Foundation (NRF), Singapore Agency of Science, Technology and Research (A*STAR), Singapore Ministry of Education (MoE), Singapore Civil Aviation Authority (CAAS) and Singapore Economic Development Board (EDB). Dr Su is a senior member of IEEE, and an associate editor for Automatica, Journal of Discrete Event Dynamic Systems: Theory and Applications, Transactions of the Institute of Measurement and Control, and Journal of Control and Decision. He is also the Chair of the Technical Committee on Smart Cities in the IEEE Control Systems Society.
Prof Justin Dauwels
Nanyang Technological University
#f2f2f2Title: Integrated Simulator for V2X Applications
Abstract: Implementation of Vehicle-to-everything (V2X) communication technologies, for traffic management, has been envisioned to have a plethora of far-reaching and useful consequences. However, before any hardware/software infrastructure can be developed and implemented, a thorough phase of testing is warranted. Since actual vehicles and traffic conditions cannot be physically re-constructed, it is imperative that accurate simulation tools exist in order to model pragmatic traffic scenarios and communication amongst the participating vehicles. In order to realize this need of simulating V2X technology, we have created an integrated simulation environment that combines three software packages, VISSIM (traffic modelling), MATLAB (traffic management applications) and NS3 (communication network simulation). The combination of the simulators, has been carried out in a manner that allows on-line exchange of data amongst them. This enables one to visualize whether a traffic management algorithm creates the desired effect and also the efficacy of the communication protocol used. The testing of the simulator has been carried out for various applications such as Green Light Optimized Speed Advisory (GLOSA), Vehicle Platooning, Intersection Collision Avoidance (ICA) and Bus Bunching Avoidance. All these applications are combined in a common scaled-up road network using parallelization of NS3. In addition to simulator development, GLOSA application is tested in real-environment to demonstrate a ‘’Green Wave” for a vehicle at two consecutive traffic signals inside NTU campus.
Biography: Dr. Justin Dauwels is an Associate Professor of the School of Electrical and Electronic Engineering at the Nanyang Technological University (NTU) in Singapore. He also serves as Deputy Director of the ST Engineering – NTU corporate lab, which comprises 100+ PhD students, research staff and engineers, developing novel autonomous systems for airport operations and transportation.
His research interests are in data analytics with applications to intelligent transportation systems, and autonomous systems. He obtained his PhD degree in electrical engineering at the Swiss Polytechnical Institute of Technology (ETH) in Zurich in December 2005. Moreover, he was a postdoctoral fellow at the RIKEN Brain Science Institute (2006-2007) and a research scientist at the Massachusetts Institute of Technology (2008-2010). He has been a JSPS postdoctoral fellow (2007), a BAEF fellow (2008), a Henri-Benedictus Fellow of the King Baudouin Foundation (2008), and a JSPS invited fellow (2010, 2011).
His research on intelligent transportation systems has been featured by the BBC, Straits Times, Lianhe Zaobao, Channel 5, and numerous technology websites. His research team has won several best paper awards at international conferences. Besides his academic efforts, the team of Dr. Justin Dauwels also collaborates intensely with local start-ups, SMEs, and agencies, in addition to MNCs, in the field of data-driven transportation and logistics.