Call for Papers
2015 International Conference on Information Technology and Intelligent Transportation Systems (ITITS 2015) was held in Xi’an on December 12-13 successfully, 12 invited speakers and over 200 participants. The conference absorbed overwhelm 330+ submissions from 5 countries and regions, each paper will be under at least 3 reviewers, more than 120 papers were accepted and will be published in Springer proceeding -Advances in Intelligent Systems and Computing and indexed by Ei Compendex.
Professor Xiangmo Zhao, vice president of Chang'an Univesity, China
Professor Rui Chen, President of Shaanxi Computer Society, China
1) Asad J. Khattak, Ph.D.,
Beaman Professor and Transportation Program Coordinator,
Department of Civil & Environmental Engineering,
322 John D. Tickle Building, University of Tennessee, USA
Editor-in-Chief, Journal of Intelligent Trans. Systems, USA;
Short Biography: Dr. Asad J. Khattak is Beaman Professor of Civil & Environmental Engineering, University of Tennessee, Knoxville and Transportation Program Coordinator in the Department. He is affiliated with the UT Center for Transportation Research, where he works on research and educational projects related to the Southeastern Transportation Center and NURail University Transportation Center. He has recently established the Initiative for Sustainable Mobility, a campus-wide organized research unit. Dr. Khattak’s research focuses on various types of innovations related to 1) intelligent transportation systems, 2) transportation safety, and 3) sustainable transportation. Dr. Khattak received his Masters and Ph.D. degrees in Civil Engineering from Northwestern University in 1988 and 1991, respectively. Dr. Khattak is: 1) Editor of Science Citation Indexed Journal of Intelligent Transportation Systems, with a 5-year impact factor of 1.841 in 2013. 2) Associate Editor of SCI-indexed International Journal of Sustainable Transportation.
Title: Integrating big data in metropolitan regions to understand driving volatility and implications for Intelligent Transportation Systems
Abstract: Higher driving volatility, e.g., hard accelerations or hard braking, can imply unsafe outcomes, more energy use, and higher emissions. This presentation will demonstrate how large-scale data, increasingly available from sensors, can be transformed into useful knowledge. This is done by creating a framework for combining data from multiple sources and comparing counties/regions in terms of driving volatility of resident drivers. The unique database was created from four sources that include large-scale travel surveys, historical traffic counts from California and Georgia Department of Transportation, socio-demographic information from Census, and geographic information from Google Earth. The database provides a rich resource to test hypothesis and model driving decisions at the micro-level, i.e., second-by-second. The database has 117,022 trips made by 4,560 drivers residing in 78 counties of 4 major US metropolitan areas across two states. They represent significant variations in land use types and populations; all trips were recorded by in-vehicle GPS devices giving 90,759,197 second-by-second speed records. The data integration helps explore links between driving behaviors and various factors structured in hierarchies, i.e., the data are structured at the levels of trips, drivers, counties, and regions. Appropriate hierarchical models are estimated to study correlates of driving performance and to compare traffic performance across regions. The implications of our analysis for intelligent transportation systems will be discussed.
2) Robert L. Bertini, Ph.D., P.E., Professor
Department of Civil & Environmental Engineering,
California Polytechnic State University
1 Grand Avenue, San Luis Obispo, CA 93407-0353, USA
Chair of the TRB Operations Section (AHB00)
Short Biography:Robert L. Bertini, Ph.D., P.E. is aProfessor of Civil and Environmental Engineering at the California Polytechnic State University, San Luis Obispo. Dr. Bertini’s primary research interests are in sustainable transportation solutions, traffic flow theory informed by empirical and experimental measurements, intelligent transportation systems (ITS), multimodal transportation “big data” for improving performance measurement, planning and operations, and proactive traffic management and operations. Dr. Bertini recently completed a 6-year term as chair of the Transportation Research Board (TRB) Committee on Traffic Flow Theory and Characteristics (AHB45) and is currently the chair of the TRB Operations Section (AHB00), overseeing 13 committees. Dr. Bertini received the National Science Foundation CAREER Award in 2002, where he developed an online multimodal transportation data repository that is a platform for performance measurement, modeling and prediction. The recipient of many awards, he received the DeFazio Transportation Hall of Fame Award and was invited to deliver the Ogden Lecture at Monash University in Australia in 2014. He was the director of the Portland State University Intelligent Transportation Systems Laboratory and of the Oregon Transportation Research and Education Consortium (OTREC), which is a statewide, federally funded university transportation center. He also served in the Obama Administration as Deputy Administrator of the Research and Innovative Technology Administration (RITA) at the U.S. Department of Transportation where he also led the Intelligent Transportation Systems Joint Program Office and chaired the Department’s Innovation Council. He received his B.S. in Civil Engineering from California Polytechnic State University San Luis Obispo, an M.S. in Civil Engineering from San Jose State University, and a Ph.D. in Civil Engineering from the University of California at Berkeley. Dr. Bertini is a licensed professional engineer in the states of California and Oregon.
Title: Toward Assessing State Department of Transportation Readiness for Connected Vehicle/Cooperative Systems Deployment Scenarios: An Oregon Case Study
Abstract: As connected vehicle research moves into deployment, state, local and transit agencies, metropolitan planning organizations (MPOs) and the private sector will start experiencing the effects of vehicles, after-market devices, mobile devices, and infrastructure with dedicated, short-range wireless communications (DSRC) and other wireless connectivity at their cores. Along with other states and regions, the Oregon Department of Transportation (ODOT) can benefit from preliminary scoping, evaluation, and assessment of the impact of connected vehicles and infrastructure and a wide range of potential cooperative system applications. With this in mind, ODOT is aiming to determine whether or not to pursue the next phases of federal connected vehicle application funding. It can also make an informed choice about taking a potential national leadership role in the connected vehicle arena, and assess opportunities to join projects with other partners. To assist ODOT in this assessment, a survey was distributed within the agency to gauge perception of connected and automated vehicle technology. Most respondents have heard of this technology and are in favor of its application. However, many had concerns with cyber security and system failure having catastrophic consequences. Likewise, many voiced concerns about ODOT’s preparedness for connected or automated vehicles. ODOT can use these findings to help prepare for a better future of connected and automated vehicles.
3) Heng Wei, Ph.D., P.E., Professor and Director
Advanced Research on Transportation Engineering and Systems (ART-Engines) Laboratory
The University of Cincinnati, USA
792 Rhodes Hall,
Immediate Past President of COTA
Short Biography:Dr. Heng Wei is a Professor of Transportation Systems and Engineering, and Director of Advanced Research in Transportation Engineering & Systems (ART-Engines) Laboratoryat The University of Cincinnati (UC). He has a wide spectrum of research interests and expertise in intelligent transportation systems (ITS). Since his faculty appointment at UC, he has secured 33 research projects(including 10 Co-PI projects) from ODOT, FHWA, NSF, EPA, OTC, NEXTRANS Center, and UC URC/FDC. His research has resulted in 161 peer-reviewed papers and 9 professional books/chapters. He has been honored with UC College of Engineering and Applied Science Distinguished Researcher Award for Excellence in Research and Engineering Master Educator Award for Excellence in Teaching, a s well as Honored Faculty/Staff Who Made a Real Difference in the Life of a UC Student. In addition, he is a member of numerous outstanding professional committees, such as TRB AND20, ABJ70 and ABE90 Committees, ASCE T&DI Committees on Advanced Technology Committee and Transportation Safety and on Sustainability and Environment. He is the Chair of IEEE ITSS Travel Information and Traffic Management Committee and Immediate Past President of Chinese Overseas Transportation Association (COTA). Dr. Wei has successfully organized and/or chaired 27 international conferences/sessions and symposiums.
Title: Synthetic Approach for Scenario-based Performance Estimation of Connected Vehicles Operating at Highway Facilities
Abstract: Connected Vehicle (CV) systems are envisioned to enhance a wide range of safety, mobility and environmental aspects to highway traffic. A critical research need lies in clarifying the cause-and-effect mechanism between the CV information and driver behaviors and subsequent adaptive resiliency of improvement in operation, safety, and emissions reductions. A novel approach is hence created via developing the simulation-based tool, Synthetic Adaptive V2X Effect (SAVE) Estimator, to explore the interactions between the CV system and transportation performance. This presentation will introduce preliminary results from the speaker’s on-going research on identifying factors possibly affecting travel behavior and rationale of their aggregated impact on mobility, safety, and vehicle emission in support of simulated outcomes of synthesized scenarios at a freeway and ramp conjunction facility in the Cincinnati are, Ohio (USA). The framework and associated modeling methodology for the development of the SAVE Estimator will be also introduced alongside the discussion of the case study. The SAVE Estimator has be initially integrated into the Geographical Information System (GIS)-based Air Impact Relating Scenario-based Urban Settings and Transportation Assets In Network” (AIR-SUSTAIN) system, which is being developed via a grant funded by US Environmental Protection Agency (US EPA), an integrated transportation conformity analysis tool.
4) Ping Yi, Ph.D., P.E., Professor,
Department of Civil Engineering, Director of Ohio Transportation Consortium
ASEC 213, University of Akron, USA
Short Biography: Dr. Ping Yi is a professor in the Department of Civil Engineering of The University of Akron. His education experience in the U.S. includes a Ph.D from University of Minnesota and a M.S. from Washington State University. His main areas of research include traffic control and safety, sensor technology and data mining/fusion, and information systems and technology. Dr. Yi was a research scientist and principal in the Minnesota DOT’s IVHS/ITS Office, where he managed several federally funded ITS operational test projects over sensors testing, adaptive signals, parking information systems, and incident and special event management. After joining the academia, Dr. Yi has published widely in refereed journals and completed many federally and state funded projects. He has served many professional societies and committees such as ASCE, TRB, AASHTO, NRC-IDEA, etc.
Title: Impact Study of Vehicle Platooning and Gap Management on Traffic Operation through Automated Vehicles
Abstact: Since the advent of automated vehicle technologies, the current trend of practice in this fast-evolving field has started to move from basic research and development in a lab environment to field trials and pilot testing. While a number of studies on V2V communications and vehicle control systems have been reported for the purpose of enhancing traffic safety, this research focuses on the efficiency benefit of the technologies in traffic operations when implemented even in a small number of vehicles in the traffic stream. Specifically, this presentation discusses the effects of automated vehicles in a traffic flow mixed with regular (human operated) vehicles on platoon formation and gap acceptance to increase roadway capacity and reduce delay. The theoretical basis for such improvements is reviewed first, followed by case studies involving intersection dilemma reduction, side street gap selection, and bottleneck management at a work zone. The resultant benefits are quantified under different rates of market penetration of the automated vehicles, which are distributed randomly in the traffic stream. Preliminary findings are summarized, including the pros and cons of the implementation.
5) Haizhong Wang, Ph.D., Assistant Professor,
Department of Civil & Construction Engineering
Room 307 Owen Hall, Oregon State University, USA
Short Biography: Dr. Haizhong Wang is an Assistant Professor of Transportation Engineering within the School of Civil and Construction Engineering at Oregon State University, Corvallis, OR. Dr. Wang received M.S. and Ph.D. degrees from University of Massachusetts, Amherst in Applied Mathematics and Civil Engineering (Transportation), and B.S. and M.S. degrees from Hebei University of Technology and Beijing University of Technology, China. Dr. Wang’s research areas include (1) stochastic traffic flow models, traffic system planning and analysis in particular the impacts of emerging technologies such as connected and automated vehicles on traffic operations and future travel behavior; (2) an agent-based modeling and simulation (ABMS) to model behavioral heterogeneity (i.e., when, how, where to evacuate) for life safety and post-disaster mobility in multi-hazard emergency evacuation and disaster response; (3) a network of network (NON) approach to model interdependency for resilient lifeline infrastructure systems; (4) Complex adaptive system (CAS) for large-scale system modeling and simulation; (5) Mileage-based road user charge for alternative financing; and (6) Dada driven smart city and big data applications for urban mobility. Dr. Wang has published over 40 journal and major conference papers. He is a member for two TRB standing committee: ABJ70 Artificial Intelligence and Advanced Computing Applications and ABR 30: Emergency Evacuation and AHB45 (3) Subcommittee on Connected and Automated Vehicles through Traffic Flow Theory and Chracteristics. He is the most recent receipt of the Outstanding Reviewer for ASCE Journal of Transportation Engineering for 2014.
Title: Modeling Potential Consequences of Connected & Automated Vehicle to Future Travel Behaviors & Patterns Changes: A Fuzzy Cognitive Map Approach
Abstract:The future travel will be affected by a number of disruptive changes, including advancements in vehicle technology, such as connected and automated vehicles, changes in population demographics and the economy, and lifestyle changes. It is difficult to say just how much each change will affect the amount and type of travel in the future, especially given the amount of uncertainty there is regarding the trajectory of these changes and their effects. The authors examined changes that are likely to affect transportation behaviors in the future, developed a “fuzzy cognitive map” (FCM) of the relationships, and used the FCM model to investigate the effects of those relationships. This new FCM method enables modeling the potential consequences of new technologies and services using a variant of the fuzzy cognitive map (FCM) approach, which enables problems involving imprecise and uncertain information to be modeled. Significant modifications to the standard FCM approach were made to address deficiencies found in applying the standard approach. The new approach retains some basic FCM characteristics, but it deviates substantially in a number of ways as well. It has been found that this produces well-behaved models that can be explained in common-sense terms, be easily configured, run many scenarios quickly, and used to analyze scenarios of disruptive change. The results of the study show that FCM models offer apromising method for transportation planners to enhance their ability to reason about system effects when quantitative information is limited and uncertain. More specifically, the results provide some initial guidance on the potential impacts of disruptive changes on future travel, which may help in targeting limited research funds on the most consequential potential changes.
6) Jonathan Corey, Ph.D., Assistant Professor,
Department of Civil & Architectural Engineering & Construction Management
796 Rhodes Hall, The University of Cincinnati, USA
Short Biography:Dr. Jonathan Corey is a civil engineering professor at the University of Cincinnati’s Department of Civil and Architectural Engineering and Construction Management. He specializes in transportation engineering with focuses on sensors, data collection and data management. His current work focuses on vehicle sensors and how data collected from those sensors can be used by practitioners to improve traffic safety and operations.
Title: Accessing and Integrating CV and AV Sensor Data into Traffic Engineering Practice
Abstract: Autonomous vehicles (AV) and connected vehicles (CV) are being designed with numerous sensors, including cameras, radar and Lidar, to enable features like adaptive cruise control, blind spot monitoring, collision avoidance and navigation. As AVs and CVs enter the vehicle fleet, practitioners are going to have the opportunity to monitor operations for freeways, intersections and urban environments to a degree that has not been possible or practical previously. But, the very availability of data will threaten practitioners with information overload. To properly use this newly abundant data, new algorithms and systems designs will be needed to automate data collection and processing into formats that practitioners can use.
7) Zhixia (Richard) Li, Ph.D., Assistant Professor
Department of Civil & Environmental Engineering
The University of Louisville, USA
Short Biography:Dr. Zhixia Li is an Assistant Professor in the Department of Civil and Environmental Engineering, University of Louisville. His research spans in the areas of traffic operations and control, Traffic safety, traffic simulation, GIS-Transportation, ITS, and sustainable transportation. Research grant proposals he wrote or contributed have successfully secured research fund from FHWA, NCHRP, TRB’s NCHRP IDEA, NHTSA, and multiple state DOTs. So far, Dr. Li’s research has produced more than 50 peer-reviewed journal and conference publications as well as a book chapter in ITE’s Traffic Control Devices Handbook. Particularly, his research was highlighted in Washington Post, NBC, Yahoo, The Times of India, The Vancouver Sun, and The Ottawa Citizen. In addition, Dr. Li was recipient of six professional and student awards at international, national, and regional levels, including the International ITE’s Danial Fambro Best Student Paper Award. Dr. Li serves for The Transportation Research Board by sitting in on two standing committees ABJ50 and ABE80, and as panelist of NCHRP project 03-113. He is member of Technical Committee on Travel Information and Traffic Management of IEEE ITS Society. Dr. Li obtained his Ph.D. degree in Civil Engineering from University of Cincinnati, and Bachelor’s degree in Electrical Engineering from Sun Yat-sen University. He received his post-doctoral training from University of Wisconsin-Madison.
Title: Next-Generation Intersection Control Powered By Autonomous and Connected Vehicle Technologies
Abstract: Urban intersections are one of the key bottlenecks that cause recurring congestions. Traditional signalized control is effective but capacity-restrained. Availability of autonomous and connected vehicle technologies provides the possibility to improve intersection capacity. Powered by autonomous and connected vehicle technologies, a next-generation intersection control strategy ACUTA was developed by employing a reservation-based centralized control strategy. ACUTA converts the conflicts between traffic movements into conflicts between individual vehicles, hence enhancing intersection capacity. Comparison between ACUTA and optimized signal control revealed that ACUTA increased the intersection capacity by 33%, resulting substantially lower delays. Particularly, comparison of the v/c ratios indicated that ACUTA could process 163 more vehicles per hour per lane without being oversaturated when compared to optimized signal control. Sustainability-wise, as ACUTA minimizes vehicle stops at intersections, it reduces emission and energy consumption as well. Sustainability effects compared with signalized intersection control include: (1) ACUTA reduces CO and PM 2.5 emissions by about 5% under low to moderate volume conditions and by about 3% under high volume condition; and (2) energy consumption is reduced by about 4% under low to moderate volume conditions and by about 12% under high volume condition. All these enhancements validate the potential benefits of implementing the next-generation intersection control.
8) Guohui Zhang, PhD, P.E., Assistant Professor
Department of Civil Engineering,
MSC01 1070, University of New Mexico, USA
Short Biography:Dr. Guohui Zhang is an Assistant Professor in the Department of Civil Engineering at the University of New Mexico (UNM). Dr. Zhang received his Ph.D. from the University of Washington in 2008. Dr. Zhang’s research focuses on large-scale transportation systems modeling, customized traffic simulation, travel delay estimation, traffic safety and accident modeling, congestion pricing, traffic detection and sensor data analysis, and sustainable transportation infrastructure design and maintenance. Dr. Zhang has published nearly 50 peer-reviewed journal articles, conference papers, and technical reports and presented his research contributions numerous times at prestigious international and national conferences.
Title: Connected Autonomous Vehicle Control Optimization at Intersections
Abstract: Connected and Autonomous Vehicle (CAV)-enabled traffic system has demonstrated great potential to mitigate congestion, reduce travel delay, and enhance safety performance. According to the U.S. Department of Transportation (USDOT) Research and Innovative Technology Administration (RITA), 81% of all vehicle-involved crashes can be avoided or mitigated based on connected vehicle technologies. Autonomous vehicles can partially or fully drive without human interventions, and have been implemented to attract significant research attention recently. Combining connected vehicle and autonomous driving technologies will generate huge social benefits. Based on seamless Vehicle-To-Vehicle (V2V) and Vehicle-To-Infrastructure communication as well as autonomous driving technologies, traffic management and control will be revolutionized. The existing studies indicate that traffic lights will be eliminated and 75% of vehicles will be autonomous vehicles by 2040. National Highway Traffic Safety Administration (NHTSA) plans to mandate inter-vehicle communication technologies on every single vehicle by 2016. However, one should note that the current research regarding CAV system management and control is still in its early stage.
The presented study concentrates on the VISSIM-based simulation platform development to enable an innovative autonomous intersection control mechanism and optimize CAV operations at intersections without signal lights. Simulation-based investigation on traffic system operations provides a cost-effective, risk-free means of exploring optimal management strategies, identifying potential problems, and evaluating various alternatives. In the study, a VISSIM-based simulation platform is developed for simulating individual-CAV-conflict-based traffic control optimization at intersections. A novel external module will be developed via VISSIM Component Object Model (COM) interfaces. A new CAV-based control algorithm entitled a Discrete Forward-Rolling Optimal Control (DFROC) model, is developed and implemented through the VISSIM COM server. This external module can provide sufficient flexibility to satisfy any specific demands from particular researchers and practitioners for CAV control operations. Research efforts will be made to calibrate driving behavior parameters in the simulation model using drivers’ characteristic data to further strengthen the simulation creditability. Furthermore, a method for statistically analyzing simulation outputs and examining simulation reliability is developed. The methodology developed is applicable for quantitatively evaluating the impacts of various CAV control strategies on urban arterials.
9) Luke Liu, Traffic Engineer,
City of Ann Arbor, Michigan, USA
(note; Mr. Liu is in charge of managing the US DOT funded project for the field testing of connected and autonomous vehicle systems in Ann Arber Michigan, the largest field test in the US).
Short Biography: Luke brings professional experience and expertise in planning and implementation of ITS applications and coordination with active traffic operations. He graduated from Michigan State University in 2007 with a doctoral degree in civil engineering. Luke has since held positions in the consulting industry and public sector in Michigan for the past nine years. His skills and experience range from signal control systems, ITS applications, traffic modeling and analysis, transportation management center operations and data management. His current responsibilities include the operations of the City’s traffic signal network and the expansion of the SCOOT adaptive signal system. Luke is passionate about sharing knowledge and skills and has delivered senior and graduate level course at Western Michigan University and guest lecturer at the University of Michigan.
Title: Support for Connected Vehicle Testing in Urban Environment
Abstract: Connected Vehicle Safety Pilot Model Deployment presented a unique opportunity to demonstrate DSRC-based vehicle safety applications in real-world driving scenarios. A diverse team of industry, public agencies and academic institutions is involved in the planning and delivery of the project. The presentation illustrates the collaborative effort from the Safety Pilot and forthcoming deployment projects. The discussion also contributes to the exploration of future research opportunities to leverage the skills and experience from past projects and the infrastructure support in Ann Arbor.
10) Yu Zhang, Ph.D, Associate Professor
Department of Civil and Environmental Engineering
University of South Florida, USA
President-Elect of COTA;
Short Biography:Dr. Zhang’s main research areas are: Transportation system modeling, analysis, and simulation; Resilient system design and operations; Air transportation and global airline industry; Multimodal transportation planning and sustainable transportation. Dr. Zhang applies mathematical programming and optimization techniques, simulation, econometric and statistical tools to solve the problems for resilient, efficient, and sustainable transportation systems. Her research projects are funded by government agencies, such as NSF, FAA, FHWA, FDOT and also local industry companies. Dr. Zhang is the recipient of the 2010 Fred Burggraf Award, for excellence in transportation research by researchers 35 years of age or younger, presented by TRB of the National Academies of Science. She has published papers in top transportation journals such as Transportation Research Part B, Part C, Part D, and Part E. Dr. Zhang is serving on the editorial board for Transportation Research Part C and is a reviewer for Transportation Science, Transportation Research Part A, Part B, Part C, Part D, Part E, Journal of Air Transport Management, Journal of Intelligent Transportation Systems, European Journal of Operation Research etc.
Dr. Zhang is actively involved in professional organizations. She is the committee member, research and paper review coordinators for Transportation Research Board (TRB) Airfield and Airspace Capacity and Delay (AV060) committee, and also the committee member of TRB Aviation System Planning (AV020) committee. Dr. Zhang is also serving as the Elected President for Chinese Overseas Transportation Association (COTA) (term 2016-2017). Dr. Zhang holds Ph.D. and M.S. from the University of California Berkeley in Civil and Environmental Engineering and Bachelors from Southeast University of China in Transportation Engineering.
Title: Impacts of Autonomous Vehicle to Airport Landside Terminal Planning and Design
Abstract: Income from parking and rental car facilities, for most of commercial airports in the U.S., are significant components in their revenue. Airports design the parking capacity and calculate the parking fees according to passenger throughput and mode split forecast, as well as the leasing rate of the rental car facilities. Nevertheless, with the emerging AV transportation modes, the fundamentals could change. In the future, if financially more economical, passengers may send their AVs back to their house instead of parking at the airports. Rental car industry could follow completely new business model and may not need to lease space on airport property. In addition, the flexibility of driverless may encourage more car sharing and real-time ridesharing. Given the information of mode split and parking information of one hub airport in the U.S., this study applies statistical and simulation methods to estimate potential parking needs and provide insights for future airport landside terminal planning and design.
11) Valentina E. Balas, Ph.D., Professor
Department of Automatics and Applied Informatics,
Aurel Vlaicu University of Arad, Romania
Short Biography: Valentina E. Balas is currently Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, University “Aurel Vlaicu” Arad (Romania).
She holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. She is author of more than 180 research papers in refereed journals and International Conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling and Simulation.
She is the Editor-in Chief to International Journal of Advanced Intelligence Paradigms (IJAIP) and to International Journal of Computational Systems Engineering (IJCSysE), member in Editorial Board member of several national and international journals and is evaluator expert for national and international projects.
Dr. Balas participated in many international conferences as General Chair, Organizer, Session Chair and member in International Program Committee.
She was a mentor for many student teams in Microsoft (Imagine Cup), Google and IEEE competitions in the last years.
She is a member of EUSFLAT, ACM and a Senior Member IEEE, member in TC – Fuzzy Systems (IEEE CIS), member in TC - Emergent Technologies (IEEE CIS), member in TC – Soft Computing (IEEE SMCS) and also a member in IFAC - TC 3.2 Computational Intelligence in Control.
Dr. Balas is Vice-president (Awards) of IFSA International Fuzzy Systems Association Council and Join Secretary of Joint Secretary of the Governing Council of Forum for Interdisciplinary Mathematics (FIM), - A Multidisciplinary Academic Body, India.
Title: Automatic control of the traffic flow
Abstract: Automate driving is enhancing the driving performance and reducing the crash risks. The presentation illustrates a new method for the management of the traffic flow on highways, based on the constant time to collision criterion. This criterion is addressing the car fallowing issue and it offers a speed adapted planner for the distance gap between cars. This method is able also to support a highway traffic flow management. The interface’s decision block is implemented by a fuzzy interpolative controller that is estimating the collision risk, taking into account the traffic intensity.
12) Lakhmi C. Jain, Professor, PhD, ME, BE(Hons), Fellow Engineers Australia
University of Canberra and University of South Australia,
KES Founder, www.kesinternational.org
Email: Lakhmi.Jain@unisa.edu.au, Jainlc2002@yahoo.co.uk, Lakhmi.Jain@canberra.edu.au
Short Biography:Lakhmi C. Jain, serves as a Visiting Professor in Bournemouth University, United Kingdom, Adjunct Professor in the Division of Information Technology, Engineering and the Environment at the University of South Australia, Australia and University of Canberra, Australia. Dr Jain founded the KES International for providing a professional community the opportunities for publications, knowledge exchange, cooperation and teaming. Involving around 5000 researchers drawn from universities and companies world-wide, KES facilitates international cooperation and generate synergy in teaching and research. KES regularly provides networking opportunities for professional community through one of the largest conferences of its kind in the area of KES. His interests focus on the artificial intelligence paradigms and their applications in complex systems, security, e-education, e-healthcare, unmanned air vehicles and intelligent agents.
Title: Intelligent Techniques for Improving the Aviation Operations.
Abstract: Air travel in modern passenger aircraft has become extremely safe. This is largely due to the engine reliability, on-board computing system reliability and excellent flight crew training. Flight crews are highly trained to operate in the technical and human environments of the cockpit. Despite all these measures, accidents do happen.
This talk presents the development of intelligent flight data monitoring system for improving the safety of aviation operations. The progress made in the development of an in-flight agent to monitor pilot situation awareness is also presented.