2016 INFORMS Annual Meeting Program

SD59

INFORMS Nashville – 2016

SD59 Cumberland 1- Omni

2 - Put Bluetooth Data In A Good Use: A Case Study In Tucson, Arizona Shu Yang, University of Arizona, shuyang@email.arizona.edu Yao-Jan Wu A Bluetooth based traffic data collection and analysis system is developed and integrated into the regional transportation district network system. Fully utilizing the Bluetooth-based data requires comprehensive data quality assurance including data decomposition, imputation, and outlier detection. A case study is conducted in Tucson to demonstrate a one-stop solution for Bluetooth-based traffic performance measurement. 3 - Developing A Simulation Model Of A Tram Network By Using Historical RFID Data Yong-Hong Kuo, The Chinese University of Hong Kong, Hong Kong, Hong Kong, yhkuo@cuhk.edu.hk, Janny M. Y. Leung, David S.W. Lai, Henry K.F. Cheung, Joshua Hiew In this talk, we will present a real-world application that utilizes historical RFID data for the development of a simulation model of a tram network. The historical data about the tram locations are used to model the travel times of trams at different times of the day. Our simulation model allows the tram company to examine the impacts of different tram schedules on the service requirements and other performance measures. 4 - Accident Impacts on Traffic Mobility In Concern Of Network Features Chenshuo Sun, Tsinghua University, Haidian District, Beijing, 100084, China, scs14@mails.tsinghua.edu.cn It is hypothesized that there may be associations between intersection’s accident- impact proneness and its location, as well as accident impacts and its origination. To substantiate such hypothesis, four topological measurements are assigned to intersections. Then, accident impacts specified in four aspects are quantified from both macroscopic and microscopic perspective. This study employs one macro- level model and three micro-level models. The results prove that intersection’s accident-impact proneness is closely related to the network features of its location, also accident’s infectiousness, network damage and delay are closely related to the network features of its origination. This session is reserved for the finalists of the RAS Problem Solving Competition (PSC). The presenters and their abstracts won’t be determined until we finish the judging process, which happens around mid-October. The selection committee will identify the top three teams who will present their results during the session. This year’s competition addresses how to route trains through a complex railway network, with limited infrastructure capacity, while planning maintenance tasks. SD62 Cumberland 4- Omni Aviation Applications Section: Awards Finalists Sponsored: Aviation Applications Sponsored Session Chair: Senay Solak, University of Massachusetts Amherst, 121 Presidents Drive, Isenberg 318, Amherst, MA, 01003, United States, solak2@isenberg.umass.edu 1 - Metaheuristics For Efficient Aircraft Scheduling And Re-routing at Busy Terminal Control Areas Marcella Sama, Roma Tre University, Rome, Italy, sama@ing.uniroma3.it This work improves a state-of-the-art optimization solver for the real-time management of landing and take-off operations in a busy terminal maneuvering area. The solver computes a good initial solution for the aircraft scheduling problem with fixed routes, and then improves it by routing flexibility. Metaheuristics based on variable neighborhood search, tabu search and hybrid schemes are proposed. Experiments are performed on an Italian terminal maneuvering area to simulate various types of disturbances. Solutions of remarkable quality are computed within a short time. SD61 Cumberland 3- Omni RAS Problem Solving Competition Sponsored: Railway Applications Sponsored Session Chair: Lingyun Meng, Beijing Jiaotong University, menglingyun2001@hotmail.com Problem Solving Competition

Advances in Transportation Modeling Sponsored: Transportation Science & Logistics Sponsored Session Chair: Tarun Rambha, University of Texas, Austin, TX, United States, tarun.1988@utexas.edu 1 - Throughput Analysis For Horizontal Traffic Queues under Safety Constraints Mohammad Motie, University of Southern California, 1119 W 29th Street, Apt 7, Los Angeles, CA, 90007, United States, motiesha@usc.edu We consider horizontal traffic queues (HTQ), where vehicle arrival and departure locations are sampled from spatial distributions. We consider first and second order car following models that guarantee no collision. HTQ is a state-dependent queuing system, where the service rate depends on the configuration of vehicles. We combine queuing- theoretic and dynamical systems tools, to provide novel insights into the service rate dynamics and busy period distribution for HTQ. These tools are used to compute bounds on throughput, which closely match simulations. Our throughput analysis illustrates the interplay between car- following behavior, road geometry, and arrival and departure statistics. 2 - Lost Demand And Redistribution In Bike Sharing Systems Konstantina Mellou, Massachusetts Institute of Technology, Cambridge, MA, United States, kmellou@mit.edu, Patrick Jaillet Spatial imbalances in bike sharing systems often lead to unavailability of resources (bikes or docks) and, as a result, lost customer demand. Our goal is to model redistribution operations that will allow the company to improve its level of service. An optimization approach is used, combined with decomposition and heuristics, and the performance of our methods is evaluated with tests on real datasets. Lost customer demand, which is often not considered since it cannot be registered in the system data, is also taken into account. 3 - A Destination-based Algorithm For User Equilibrium With Recourse Using Split Proportions Tarun Rambha, University of Texas, Austin, TX, 6, United States, tarun.1988@utexas.edu, Stephen Boyles, Avinash Unnikrishnan When travelers receive en route information and select routing policies that minimize expected cost, user equilibrium with recourse models can help predict the resulting network state. We propose a new destination based algorithm to solve such models using link proportions and compare its performance with existing methods. 4 - Optimal Patrol Planning For Urban Parking Enforcement Considering Driver’s Parking Behavior Chao Lei, University of Illinois at Urbana–Champaign, 2063 S. Orchard St. Apt A, Urbana, IL, 61801, United States, lei8785@gmail.com In the aim of designing an effective parking patrolling scheme for the parking enforcement agency, we propose a bi-level optimization approach to help the agency determine the patrolling schedule and routing plan in the upper level while considering the drivers’ parking payment decisions in the lower level. Both a mixed-integer formulation and a continuum approximation (CA) model are developed. The numerical study shows that, due to its advantage in computational performance, the CA approach provides a good alternative to handle the large scale problems. SD60 Cumberland 2- Omni Emerging Data Analytics in Transportation Modeling Sponsored: TSL, Urban Transportation Sponsored Session Chair: Xian-Biao Hu, Metropia, 1790 E. River Rd., Suite 140, Tucson, AZ, 85718, United States, xb.hu@metropia.com 1 - Contextual Driving Risks Analysis Using Individualized Dynamic Smartphone Xian-Biao Hu, Metropia Inc., xb.hu@metropia.com Traditional driving risk study is usually based on crash history data and can only be performed at aggregate level. Latest information and communications technology allows individualized data collection, but most researches rely solely on user GPS trajectories data but fail to consider other critical risk factors in the surrounding environment that also contribute to crash risk. To bridge this gap, a new approach that collects individualized driving behavior data from smartphone GPS module, combined with geographical network information and dynamic traffic conditions is presented to identify driving risk factors and evaluate driving behaviors under various contexts.

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