2015 Informs Annual Meeting

MA72

INFORMS Philadelphia – 2015

MA71 71-Room 202B, CC Alternative Fuel Vehicles and Sustainable Transportation II Sponsor: TSL/Urban Transportation Sponsored Session Chair: Jee Eun Kang, Assistant Professor, University at Buffalo, 409 Bell Hall, Buffalo, NY, United States of America, jeeeunka@buffalo.edu 1 - Locating Battery Exchange Facilities on Lines and Trees Pitu Mirchandani, Arizona State University, Tucson, AZ, United States of America, pitu@asu.edu, Yazhu Song We introduce a new location problem for battery exchange facilities (BEF) for Electric Vehicles. First we study the problem of location feasibility on lines. Given feasibility, the location problem becomes “where should BEFs be located to minimize a charge-related objective”. e.g., the objective of minimizing the maximum distance between BEFs minimizes the anxiety of the drivers. Scenarios include single OD pair, multiple OD pairs, round trips, etc. Extensions to tree networks is discussed. 2 - Design for EV Market Systems Namwoo Kang, Research Fellow, University of Michigan, 2350 Hayward Street, Ann Arbor, MI, 48109, United States of America, nwkang@umich.edu, Panos Papalambros, Fred Feinberg Electric Vehicle (EV) market systems are generally run by three key players: EV manufactures, charging station operators, and government. This study presents a decision-making framework for the players to maximize profits and greenhouse gas reductions by quantitative modeling and linking of consumer demand prediction (marketing), charging station sitting (operations), EV powertrain design (engineering), and investment allocations (public policy). Several scenarios and case studies are examined. 3 - Optimal Deployment of Charging Lanes in Transportation Networks Zhibin Chen, University of Florida, 365 Weil Hall, Gainesville, United States of America, yafeng@ce.ufl.edu, Fang He, Yafeng Yin This paper attempts to develop a mathematical model to optimally deploy in a large-scale highway network charging lanes that charge electric vehicles while they are on the move. We first describe network flow equilibrium conditions under a particular deployment plan of charging lanes, and then formulate the design of charging lanes as a mathematical program with equilibrium constraints. 4 - Modeling Intra-household Interactions for the Use of Battery Electric Vehicles Yashar Khayati, Graduate Research Assistant, State University of New York at Buffalo, 327 Bell Hall, Buffalo, NY, 14226, United States of America, yasharkh@buffalo.edu, Jee Eun Kang This study assesses the potential use of Battery Electric Vehicles in place of conventional Internal Combustion Engine Vehicles at household level. A sequential activity allocation and insertion heuristic is developed to implement on HAPPEV. The results show that if BEVs would be used at household level the travel disutility of households can be decreased about $42 per day in average. In comparison, if a BEV is used to do exact same activity pattern the average saving for the day is only $7. MA72 72-Room 203A, CC 2015 QSR Best Student Paper Competition Sponsor: Quality, Statistics and Reliability Sponsored Session Chair: Eunshin Byon, Assistant Professor, University of Michigan, 1205 Beal Avenue, Ann Arbor, MI, 48109, United States of America, ebyon@umich.edu 1 - 2015 QSR Best Student Paper Award Eunshin Byon, Assistant Professor, University of Michigan, 1205 Beal Avenue, Ann Arbor, MI, 48109, United States of America, ebyon@umich.edu Best Student Paper Award recognizes excellence among QSR student members. Four finalists for the Best Student Paper Award will make presentations. The winner will be announced at the QSR business meeting during the conference.

4 - A Network Design Model for Dual-channel Commerce with Uncertain Demand Guoqing Zhang, Professor, University of WIndsor, 401 Sunset, Windsor, ON, Canada, gzhang@uwindsor.ca We study the supply network problem with dual-channel, where a manufacturer or a retailer sells their products from both direct channel and traditional retail channel. An optimization model is established to examine central and local distribution/fulfilling center strategies, and determine inventory levels at each location and market allocation with taking into account uncertain demands from both channels. MA70 70-Room 202A, CC Rail Safety and Risk Analysis Sponsor: Railway Applications Sponsored Session Chair: Xiang Liu, Assistant Professor, Rutgers University, CoRE 606, 96 Frelinghuysen Road, Piscataway, NJ, 08854-8018, United States of America, xiang.liu@rutgers.edu 1 - Using Text Mining and Data Visualization to Analyze Railroad Grade Crossing Accidents Trefor Williams, Professor of Civil Engineering, Rutgers University, 96 Frelinghuysen Rd, Piscataway, NJ, 08540, United States of America, tpw@rci.rutgers.edu, John Betak This paper will discuss how probabilistic topic modeling, clustering, text visualization and data visualization have been used to study the nature of accidents that occur at grade crossing. The data analyzed were from the Federal Railroad Administration grade crossing accident database. The paper will illustrate how trucks, particularly tractor-trailer trucks have been identified as a major cause of highway-railroad accidents from analysis of the text fields of grade crossing accident reports. 2 - Comparative Train Accident Analysis for Class I U.S. Freight Railroads Zhao Wang, Graduate Research Assistant, University of Illinois at Urbana-Champaign, 205 N. Mathews Ave., B-118 Newmark Engineering Laboratory, MC, Urbana, IL, 61801, United States of America, zwang144@illinois.edu, Christopher Barkan, Mohd Rapik Saat This paper studies the U.S. Class I freight train accident rates between 2004 and 2013. By utilizing train accident data and statistical theories, the investigation compares and contrasts train accident rates, trends, accident cause distributions, and accident severity between two time periods. The decreasing trend in accident rate and the changing trend in accident cause distributions are analyzed. 3 - Fault Tree Analysis of Train Accidents on Shared-use Rail Corridor Chen-Yu Lin, Graduate Research Assistant, University of Illinois at Urbana-Champaign, 205 N. Mathews Ave., Urbana, IL, 61801, United States of America, clin69@illinois.edu, Mohd Rapik Saat, Christopher Barkan Safety issues regarding shared-use rail corridors are emerging due to the introduction of faster and more frequent passenger trains. In this research, a general risk framework is presented for shared-use rail corridors. A standard risk management procedure is implemented to identify potential hazards and evaluate the risk associated with them. Fault tree analysis is performed to hazards with higher level of risk. An example fault tree for a specific hazard, adjacent track accident, is presented. 4 - Risk-based Rail Inspection and Repair Xiang Liu, Assistant Professor, Rutgers University, CoRE 606, 96 Frelinghuysen Road, Piscataway, NJ, 08854-8018, United States of America, xiang.liu@rutgers.edu Broken rails are the leading causes of freight-train derailments in the United States. Each year, the railroad industry spends millions of dollars on rail inspection and repair. This research develops a simulation-based risk analysis model to optimize ultrasonic rail inspection and repair strategies.

169