University of Central Florida, College of Engineering and Computer Science, USA
Biography: Essam Radwan served as the Executive Director of the Center for Advanced Transportation Systems Simulation (CATSS) till November 1, 2017 before retirement from UCF. He also served as the Chair the Department of Civil, Environmental, and Construction Engineering and Associate Dean for Research in the College of Engineering and Computer Science at the University of Central Florida.
Professor Radwan research interest is traffic characteristics and traffic signal control of freeway and street intersections. Included in this area are theoretical and applied models, discrete event simulation models, and large-scale databases developed to describe traffic behavior. He directed and co-directed over 80 research projects totaling close to $15 million in external funded research projects. Through research and graduate advising he published more than two hundred and fifty (250) technical papers and reports and his work has been extensively cited by his peers in the US and around the world. Professor Radwan delivered close to hundred presentations at international conferences and professional meetings. He was a keynote speaker for meetings held in countries like Brazil, China, Qatar, Kuwait, United Arab Emirates, New Zealand, Australia, Lebanon, Turkey, Singapore, Japan, Korea, Malaysia, and France.
Professor Radwan graduated twenty (22) Ph.D. students, thirty-three (38) master degree students. Academic institutions, consulting firms, and public agencies in different states like Florida, Virginia, Louisiana, Colorado, Massachusetts, and Tennessee and overseas countries like Brazil, Egypt, and United Arab Emirates employ his past students.
He was instrumental in bridging the gap between human factors researchers, computer engineers, and transportation engineers. The “Human Centered Transportation Simulation Program” and the “real time simulation laboratory” that he created under CATSS auspices has been viewed as a unique and one of the leading programs in the US. External funded research from FDOT and Georgia Tech Research Foundation sponsored the dual-cab motion base-driving simulator. This program has attracted international experts in this field to visit CATSS labs during the third Driving Simulators Conference hosted by CATSS and held in Orlando in November 2005.
Professor Radwan received numerous honors and awards including the ASCE “Frank Masters Award”, the UCF “University Excellence in Professional Service”, the Office of Sponsored Research and Commercialization “UCF Millionaire’s Club Member” designation (UCF faculty who attracted outside research funding exceeding $1 Million) for three consecutive years, the Florida Engineering Society “Outstanding Technical Achievement Award”, the UCF “Distinguished Research of the Year Award”, the CECS Advisory Board Award for Faculty Excellence, and the UCF “Faculty Excellence in Mentoring Doctoral Students” award.
Speech Title: Traffic Operations and Safety: Who Affects Who
Abstract: Traffic operations and safety is evolving at a rapid pace around the globe. Advance technological innovations and their applications to moving people and goods have resulted in substantial benefits to the transportation industry and at the same time created some challenges. Very recently, Connected and Autonomous Vehicles (CV/AV) technology has emerged to be the “Holy Grail” for solving traffic problems. There are numerous factors that will continue to demand special attention such as complicated driving environments, human factors, changes in vehicular technologies, social media and distracted motorists, and mixed fleet on open roads, just to name few. This presentation attempts to shed some light on how traffic operation efficiency and traffic safety will continue to be somehow in odds. The answer to the following two questions is part of this presentation: Are efficient roads and streets safe? Are safe facilities efficient? The use of human centered simulation will play a vital role in testing new CV/AV concepts and technologies. The integration of big data collected from the field and controlled simulation experiments is of great value to research and development of these new technologies.
Prof. Roberto Montemanni
Dalle Molle Institute for Artificial Intelligence (IDSIA)&University of Applied Sciences of Southern Switzerland (SUPSI), Switerland
Biography: Roberto Montemanni is professor of advanced algorithms at the University of Applied Sciences of Southern Switzerland. He is also active as senior researcher at the Dalle Molle Institute for Artificial Intelligence and as research advisor for PhD students at the University of Lugano, Switzerland. He obtained a Laurea degree in Computer Science from the University of Bologna, Italy in 1999 and a Ph.D. in Applied Mathematics from the University of Glamorgan, UK in 2002. He is leading basic and applied research projects both at national and international levels. His main research interests are in the fields of mathematical modeling and algorithms, with applications in transportations and logistics.
Speech Title: SocialCar: Integrating Carpooling into Existing Mobility and Public Transportation Systems
Abstract: SocialCar is a European research and innovation project that seeks to incorporate carpooling (people commuting together on a same vehicle) into existing mobility and public transportation systems, by means of powerful planning algorithms and big data integration from public transportation, carpooling systems, and crowd sourcing. The project unites transportation engineers, social and economic scientists, information technology experts, carpoolers and public authorities from Italy, Greece, United Kingdom, Luxembourg, Poland, Switzerland, the Former Yugoslav Republic of Macedonia, Croatia, Slovenia, the Netherlands, Hungary, Spain and Belgium. Their mission is to design, develop, test and roll out a service that simplifies the travel experience of citizens in urban and peri-urban areas. SocialCar will define data processing flows and design algorithms to match travel requests with the integrated public-private transport supply, complemented by a reputation-based mechanism based on social media. After a general overview of the project, a detailed description of the route planning and ride matching engines at the basis of the system will be provided. These component are used to provide the users with meaningful alternatives for their trips.
Prof. Kananpha Amaruchkul
National Institute of Development Administration (NIDA), Bangkok, Thailand
Biography: Kananpha Amaruchkul is an Associate Professor of Graduate School of Applied Statistics, National Institute of Development Administration, Bangkok, Thailand. She graduated with PhD degree in Industrial Engineering, Minor Statistics from University of Minnesota, USA. She received M.S. degree in Industrial Engineering and Operations Research from University of California, USA and A.B. degree in Mathematics (Honors) from Princeton University, Princeton, USA in 2001. She joined Department of Mechanical Engineering, University of Minnesota, Twin Cities, USA as a Teaching Assistant in 2007. She served as a consultant for a couple of companies in Thailand, such as Bangkok Airways Public Company Limited, M-Focus, Ltd, etc. She is a referee for European Journal of Operational Research, Computers & Industrial Engineering and IEEE Transactions on Systems, etc. And an editor for Thai Operations Research journal.
Title: Optimal Air-Cargo Allotment Contract with Multiple Freight Forwarders
Abstract: Consider the air-cargo service chain which comprises a carrier and multiple forwarders. The carrier and each of the forwarders may establish an allotment contract at the start of the season. We formulate the contract design problem as a Stackelberg game, in which the carrier is the leader and offers a contract to a forwarder. The contract parameters may include the discount contract price and the penalty cost for the unused allotment as well as the minimum allotment utilization. The carrier's contract is accepted, if the forwarder earns at least its reservation profit. Given the carrier's offer, the forwarder decides how much to book as an allotment, in order to maximize its own expected profit. We show that the two-parameter contract suffices to coordinate the service chain, and the carrier earns the maximum chain's expected profit less the total reservation profits of all forwarders. If the penalty cost is not imposed, then the minimum allotment utilization is needed to construct an efficient contract. On the other hand, if the penalty cost is strictly positive, then there is no need to impose the minimum allotment requirement.
Prof. Daniel(Jian) Sun
Shanghai Jiao Tong University, China
Biography: Dr. Daniel Jian Sun is a professor and deputy chair of Department of Transportation and Shipping Logistics, Shanghai Jiao Tong University. He obtained his Ph.d in Transportation Research Center, University of Florida in 2009. His main research interests include urban driver behavior and simulation, urban transportation environment, Internet of Vehicles and urban traffic control. He has published more than 50 SCI/SSCI indexed journal papers, and has 24 papers accepted and presented in TRB annual meeting since 2010. He has been served in editorial committee board of several journals, including Journal of International Transportation (since 2012), Journal of Traffic and Transportation Engineering (English Version) (since 2014), and the chief member of road and traffic engineering sub-committee, Shanghai Society of Civil Engineering (since 2012). Moreover, he has been an Expert Reviewer for the Transportation Science & Technology Project, Ministry of Transport, China, and the National Science & Technology Award since 2014.
Speech Title: ANALYZING SPATIOTEMPORAL TRAFFIC LINE SOURCE EMISSIONS BASED ON MASSIVE DIDI CAR-HAILING DATA
Abstract: Nowadays, the massive car-hailing data has become a popular source for analyzing traffic operation and road congestion status, which unfortunately has seldom been extended to capture detailed on-road traffic emissions. This study aims to investigate the relationship between road traffic and the related built environment factors, as well as land use. The Computer Program to Calculate Emissions from Road Transport (COPERT) model from European Environment Agency (EEA) was introduced estimate the 24-hour NOx emission pattern of road segments with the parameters extracted from Didi massive trajectory data. Then, the temporal Fuzzy C-Means (FCM) Clusteringwas used to classify road segments based on the 24-hour emission rates, while Geographical Detector and MORAN’s I were introduced to verify the impact of built environment on line source emissions and similarity of nearby road segments. The spatial autoregressive moving average (SARMA) regression model was incorporated to assess the impact of selected built environment factors on emission rate based on the probabilistic results from FCM. It was found that the short road segments, being close to city center, with high density of bus stations, ramp nearby and high proportion of residential or commercial land would substantially increase the emission rate. Finally, the 24-hour atmospheric NO2 concentrations were obtained from the environmental monitor stations, to calculate the time variational trend by comparing with the line source traffic emissions, which to some extent explains the contribution of on-road traffic to the overall atmospheric pollution. Result of this study could guide urban planning, so as to avoid transportation related built environment attributes which may contribute to serious atmospheric environment pollutions.
Prof. Khair S. Jadaan
University of Jordan, Jordan
Biography: Dr Khair Jadaan is a Professor of Transportation Engineering at the University of Jordan. He has over 48 years of academic and consultancy experience in various developed and developing countries including UK (where he earned two postgraduate degrees), USA, Germany, New Zealand, Kuwait, Iraq and Jordan. Khair taught several undergraduate and postgraduate transportation engineering courses and supervised many theses. His main research interests are road safety, environmental impacts of transport and road pricing (many with applications to developing countries). He has published over 160 scientific papers in international Journals and conferences and is a member of the Editorial Board of three international journals.
Prof Jadaan has over 30 years of teaching and research experience at Universities of Leeds (England), Bradford (England), California Berkeley and UOI at Urbana-Champaign (USA), Canterbury and Auckland (New Zealand), Baghdad (Iraq), Kuwait, Univ. of Jordan, and Al-Isra (Private University / Jordan) in addition to 12 years as a Senior Advisor with the Arab Fund for Economic and Social Development (AFESD).
Speech Title: Evaluation of Road Safety Management
Abstract:Road Safety continues to be a challenge globally requiring sustained implementation of intervention measures by different sectors. An urgent social task and a challenge to road safety stakeholders is to develop effective measures for improving road safety – especially when resources are scarce and economic means are limited. This calls for the need to evaluate these interventions in order to assist decision makers to identify “best Practice” road safety investments which is essential for the formulation of accident reduction and prevention strategies.