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. Kannapha 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. 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.
The presentation of Prof. Jadaan outlines the various aspects of the task; the need to assess the effectiveness of safety interventions, the selection and assessment criteria used to identify measures for evaluations, the design principles and the Efficiency Assessment Tools(EAT) used for evaluation. The barriers to the use of these EAT are discussed together with the available measures to overcome these barriers. Finally, the presentation outlines the statistical techniques used to evaluate changes in accidents are discussed.