Informs Annual Meeting Phoenix 2018

INFORMS Phoenix – 2018

TE29

4 - The Facility Location Problem with Joint Disruptions Vishwakant Malladi, Graduate Student, University of Texas-Austin, McCombs School of Business, CBA 5.202, IROM, Austin, TX, 78712, United States, Kumar Muthuraman Classical facility location problems do not incorporate the possibility of correlated disruptions among facilities. Existent Literature focuses on simplistic disruption probabilities. We propose using Subordinated Markov chains to model the probability of the correlated risk of disruptions. Parameterizing the disruption probabilities offers more realistic and easy-to-simulate disruption distributions while using fewer parameters. We also propose algorithms that calibrate the Subordinated Markov Chain model and optimize for the facility location choices under correlated disruptions. 5 - Backhaul Profit Maximization Yulan Bai, Doctoral Student, Southern Methodist University, Dallas, TX, United States, Eli Olinick We present a MIP for the backhaul profit maximization problem in which a freight carrier seeks to generate revenue from an empty delivery vehicle’s backhaul trip from its last scheduled delivery to its depot by allowing it to deviate from the least expensive (or fastest) route to accept delivery requests between intermediate points as allowed by its capacity and required return time. The MIP is inspired by a novel representation of multicommodity flow that significantly reduces the size of the constraint matrix, LP upper bound on optimal profit, and solution time compared to a formulation based on the classical node-arc representation. n TE29 North Bldg 221B Modeling Dynamic Transportation Networks in the Era of Connectivity, Automation, and Sharing Sponsored: TSL/Urban Transportation Sponsored Session Chair: Rui Ma, University of California, Davis, CA, 95618, United States Co-Chair: Xuegang Ban, University of Washington, Seattle, WA, United States 1 - Modeling Dynamic User Equilibrium Using Dynamic Complementarity Systems Rui Ma, University of California, Davis, Davis, CA, United States, Xuegang Ban We present a mathematical framework, called differential complementarity systems (DCS), to model and solve link-node continuous-time dynamic user equilibrium. We also discuss possible ways to extend the DCS formulations to model emerging mobility services in transportation. 2 - Ridesharing on a Many-to-one Network with Multiple Corridors and a Common Destination Rui Ma, University of California, Davis, Davis, CA, 95616, United States, Michael Zhang We study the ridesharing morning commute traffic in a many-to-one network with a common parking area. The morning commute equilibrium problem of both ridesharing role and departure time choices in a many-to-one network is formulated and analyzed. The common parking area and its common parking disutility are shared by travelers on multiple corridors, each of which is represented by a single bottleneck link. It is found that the common parking disutility connects choice behavior and traffic flow patterns on all corridors, so that the problem is significantly different from the morning commute problems with only a single bottleneck link regardless the presence of ridesharing travel modes. 3 - A Data-driven Car-truck Dynamic Traffic Assignment Model Zhen Qian, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA, 15213, United States, Xidong Pi, Wei Ma Traffic simulation with heterogeneous traffic flow is central to traffic management, for example when examining the impact of new demand/restriction of emerging vehicles. In real-world traffic flow, cars and trucks have different attributes, hence evolve in different behaviors. In this research, we built and implemented a realistic and applicable mesoscopic car-truck traffic simulation model that are data friendly for dynamic traffic assignment, with separate demand estimation and route choices for cars and trucks. It performs well in traffic impact analysis of development projects in case studies.

n TE30 North Bldg 221C Practice- Smart City and Urban Planning I Contributed Session Chair: William Knudson, Clemson University, Clemson, SC, 29634, United States 1 - Spatio-temporal Flexible Parking System Xin Wang, University of Wisconsin-Madison, Madison, WI, United States, Xiaotian Wang In a reservation-based parking system, customers departing late cause service failure for subsequent customers. To guarantee the service level, the parking system needs to run at a low utilization, which is a huge waste of parking resources, especially in congested urban area. From the perspective of the public regulator, we propose a flexible reservation system with spatial-temporal flexibility to address above issues and manage social surplus. A game-theoretical model is used to capture the customers’ utility over the flexibility. 2 - Site Characterization by Dem And Satellite Images to Estimate Subsurface Site Conditions Young-Ji Byon, Associate Professor, Khalifa University, Al Saada Street and Airport Road, P.O. Box 127788, Abu Dhabi, 127788, United Arab Emirates, Tadahiro Kishida, Rita Sousa Site information need to be obtained for civil infrastructure construction before actual field survey is performed. Digital elevation models (DEM) have been successfully applied for this purpose to estimate the subsurface site conditions. Satellite images are also sometimes used to characterize site conditions visually based on the practitioners’ experience. However, the combination of the data from DEM and satellite images have not been explored to estimate the subsurface site conditions. This study investigates the methodology to estimate the averaged subsurface site conditions for Japan from DEM and satellite images which are public available for the entire world. 3 - Quality of Service Constrained Microgrid Optimal Scheduling Yiwei Wu, University of Houston, 4800 Calhoun Road, Houston, TX, 77004, United States, Gino J. Lim, Masoud Barati The microgrid (MG) optimal scheduling ensures the economic operation subject to secure performance. To maintain the MG stability, MG should have enough reserve capacity. We define a Quality of Service (QoS) index to evaluate the effects of managing the scheduling uncertainties. Under particular QoS, the MG uses estimated reserve quantity to schedule its operation. A two-stage mixed- integer stochastic programming model is proposed to solve microgrid scheduling problem, in which the first stage is to schedule a microgrid under a normal operating condition, and the second stage is to adjust the first stage decision by finding the optimal provided reserve of microgrid under operation uncertainties. 4 - Urban Climate and Air Quality Services for Climate Change Planning – Europe Case Studies Roberto San Jose, Professor, Tech. University Madrid, UPM Campus Montegancedo, Boadilla del Monte, Madrid, Spain, Juan Luis Perez-Camano, Libia Perez, Rosa Maria Gonzalez-Barras UPM has developed integrated urban climate and air quality services to cover the special needs of city planners to develop climate change mitigation strategies. The results are based on high resolution numerical simulations run on high performance computers platforms. The methodology includes health impact assessments to know how climate change may affect the health of citizens. 5 - Using Bike Route Data Visualization to Inform Bicycle Share System Design and Redesign William Knudson, Clemson University, Clemson, SC, United States, Mary Beth Kurz, Paul Glenn, Jack Henderson, Ciara Hill, Anderson Kemp, Isabella Kazmier Small entities, such as small universities or towns, may want, for reasons such as sustainability or livability, want to invest in a bicycle sharing system with a limited budget, and not be able to follow best-practices in designing their systems. Using crowd-sourced data, such as that collected by Strava users, planners may be able to determine reasonable station location and potential bike routes. In this study, we utilize longitude, latitude and elevation data collected from bicyclists traveling through and on Clemson University’s campus, as well as pilot bike share system usage data, to provide updates to the system design.

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