2015 Informs Annual Meeting

SA68

INFORMS Philadelphia – 2015

2 - Airline Trip Segmentation Manini Madireddy, Sabre, 3150 Sabre Dr, Southlake, TX, 76092, United States of America, Manini.Madireddy@sabre.com, Aditya Kothari, Goda Doreswamy, Sergey Shebalov, Ramasubramanian Sundararajan We consider the problem of recommending customized product bundles to airline customers based on their behavior and preferences. We present an approach to correlate candidate product designs to traveler behavior, based on historical evidence of travel and purchase patterns. We use clustering algorithms to segment travelers and further demonstrate how the goodness of a clustering result can be measured through the extent to which it enables good product design. 3 - Predicting Operational Performance for Airline Schedules through Simulation Mahmood Zangui, Senior Systems Engineer, Optym, 7600 NW 5th Place, Gainesville, FL, 32607, United States of America, mahmood.zangui@optym.com, Eric Camacho, Yu-shiu Lin, Pranav Gupta, Jeff Borges, Lonny Hurwitz An airline schedule is a highly interconnected network; where one disruption can propagate through the network and delay several flights. Airlines are interested in measuring the robustness of their schedules against such disruptions, and in forecasting their operational performance. We have built a simulation model that can predict key performance indices for given schedules. We will share our modeling approach, challenges we faced, and lessons learned during development of this model. 4 - A Hybrid Model for Airline Flight Frequency and Scheduling Optimization Ahmed Abdelghany, Associate Professor, Embry-Riddle Aeronautical University, 600 S. Clyde Morris blvd, Daytona Beach, FL, United States of America, abdel776@erau.edu, Khaled Abdelghany, Farshid Azadian An optimization model that considers the joint optimization of airline flight frequency and flight scheduling decisions is presented. The model takes into consideration the schedule of other competing airlines. Several experiments are presented to illustrates the model capabilities. Chair: Johanna Amaya, Rensselaer Polytechnic Institute, 110 8th St. JEC 4037, Troy, NY, 12180, United States of America, amayaj@rpi.edu 1 - Public Sector Initiatives Sustainable Urban Freight Systems Part I Jeffrey Wojtowicz, RPI, United States of America, wojtoj@rpi.edu, Cara (xiaokun) Wang, Johanna Amaya, Jose Holguin-Veras, Miguel Jaller, Carlos A. Gonzalez-Calderon, Ivan Sanchez-Diaz, Stacey Hodge, Michael Browne, Daniel Haake Transportation policy should ensure freight is moved efficiently as it is a physical manifestation of the economy. From this study, planners are provided with guidelines to implement initiatives addressing freight issues. Initiatives were organized as part of a continuum, from supply to demand side; underpinned by stakeholder engagement. This paper focuses on supply side and covers infrastructure management, parking and loading, vehicles, and traffic management along with stakeholder engagement. 2 - Toward a Freight-friendly Built Environment: A Mixed Method Approach Kazuya Kawamura, Associate Professor, University of Illinois at This study uses both parking violation data for quantitative analysis and video images collected from pole-mounted portable video recorders for qualitative contextual assessment to shed light on the relationship between delivery vehicle activities and the built environment including streetscape in Chicago. 3 - Electric Vehicle Routing Problem Jane Lin, University of Illinois at Chicago, 842 W. Taylor Street (M/C 246), Chicago, IL, 60607, United States of America, janelin@uic.edu, Wei Zhou This paper presents a general Electric Vehicle Routing Problem (EVRP) that finds the optimal routing strategy with minimal travel time cost and energy cost as well as number of EVs dispatched. As demonstrated with a case study in Austin TX, the effect of vehicle load on routing strategy cannot be ignored. Compared to diesel truck VRP, EVRP has comparable travel time and distance but long en-route re-charging time. Lastly, the network topology greatly affects the routing strategies. Chicago, MC348, 412 S. Peoria St., Chicago, IL, 60607, United States of America, kazuya@uic.edu, Takanori Sakai SA67 67-Room 201A, CC City Logistics and Sustainable Urban Freight Systems - I Sponsor: TSL/Freight Transportation & Logistics Sponsored Session

4 - A Plugin Hybrid Electric Vehicle Routing Problem with Recharging and Refueling Matthew Roorda, Associate Professor, University of Toronto, Civil Engineering Department, University of Toronto, Toronto, On, M5S 1A4, Canada, roordam@ecf.utoronto.ca, Mehdi Nourinejad, Sina Bahrami, Glareh Amirjamshidi This paper presents a Hybrid Electric Vehicle Routing Problem which specifically considers Electric Vehicles and Plugin Hybrid Electric Vehicles. A modified Clarke Wright algorithm is proposed. The model is applied to the City of Toronto. The results of the model provide managerial insight. For instance, the analysis shows the total number of Electric Vehicles is insensitive to the battery capacity but sensitive to the fuel tank capacity of Plugin Hybrid Electric Vehicles. SA68 68-Room 201B, CC Geospatial Analysis in Transportation and Logistics Sponsor: Transportation, Science and Logistics Sponsored Session Chair: Eunsu Lee, Assistant Professor, New Jersey City University, 2039 John F. Kennedy Blvd, Jersey City, NJ, 07305, United States of America, elee3@njcu.edu 1 - Spatial Matching Models: Freight Demand Analyses Considering Partner Selection and Joint Decision Dapeng Zhang, Doctoral Student, Rensselaer Polytechnic Institute, zhangd9@rpi.edu, Cara (xiaokun) Wang Freight demand has not been understood comprehensively due to unique features: the freight activity is a result of collaboration of multiple agents. In specific, the collaboration can be observed by partner selection and joint decision making processes. As existing models cannot capture such features, this research develops an innovative model, spatial matching model, to fill the void. The proposed model is specified based on freight behavior, validated by experiments, and explained by examples. 2 - Stochastic Market Boundaries and Fertilizer Plants Sumadhur Shakya, Assistant Professor, California State Univ. Monterey Bay, 100 Campus Center, Seaside, CA, 93955, United States of America, sshakya@csumb.edu, William Wilson, Bruce Dahl The study analyzes spatial competition among nitrogen-based fertilizer plants in United States, to gain insight on viability of newly announced fertilizer plants and structure of supply chain, now and in future, at a macro level using locational information; linear and mixed-integer based optimization techniques and geographical information systems methods are applied to arrive at current spatial equilibrium and most likely future cases for structure of supply chain in Untied States. 3 - An Agent-based Modeling for Remotely Piloted Aircraft (RPAS) Package Delivery in Rural Area Ali Rahim Taleqani, Research Assistant, Upper Great Plains Transportation Institute, Dept. 2880, P.O. Box 6050, Fargo, ND, The purpose of this paper is to examine the agent-based modeling concept in the context of urgently-needed package delivery system by means of Remotely Piloted Aircraft (RPA). The target market is assumed to be in rural area in Cass County North Dakota where travelling distance to major markets are longer and accessibility is not well developed. The implementation is constructed over Agent Analyst simulation platform in ArcGIS software. 4 - Analysis of Alabama Statewide Freight Flow after the International Capacity Expansion Jaehoon Kim, University of Alabama in Huntsville, 301 Sparkman Dr., Technology Hall S239, Huntsville, AL, 35899, United States of America, jk0012@uah.edu, Michael Anderson This study presents a methodology to estimate state level of freight flow. Using FAF3 database, disaggregated state level O/D matrices are developed and applied to the State of Alabama. Thereafter, the expected freight flow variation affected by the Panama Canal expansion is applied to the O/D matrices. The developed O/D matrices are assigned to the statewide network. The study identifies current Alabama freight flow pattern and new freight flow trend after the Panama Canal expansion. 58108-6050, United States of America, ali.rahimtaleqani@ndsu.edu, Eunsu Lee

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