Informs Annual Meeting Phoenix 2018

INFORMS Phoenix – 2018

TC29

Chair: Goktug Islamoglu, Captura ITS, Cengelkoy Mah. Kalantor Sok., 16/3 Uskudar, Istanbul, 34680, Turkey 1 - Efficient Collection of Connected Vehicles Data with Precision Guarantees Negin Alemazkoor, University of Illinois at Urbana-Champaign, Champaign, IL, United States, Hadi Meidani Connected vehicles disseminate detailed data with a very high frequency. Therefore, efficient collection of data is critical to prevent overburdening the communication systems. We propose an efficient data collection scheme that selects and transmits only a small subset of data. We have tested the proposed approach to select data points to be transmitted from 10,000 connected vehicles trips. Results show that collection ratio can be as small as 0.05. A simulation study was also performed to evaluate travel time estimation accuracy using the proposed data collection approach. Results show that the proposed approach can significantly improve travel time estimation accuracy. 2 - Inferring High Resolution Individual Activity and Trip Purpose From GPS Trajectories Data Collected from a Navigation App Shin-Yu Lin, Metropia, 1790 E. River Rd., Suite 140, Tucson, AZ, 85718, United States, Ali Arian, Ali Arian, Alireza Ermagun, Yi-Chang Chiu Traditionally human mobility patterns and space activities are studied using recall-based travel diaries. Following the ubiquity of location-based technologies, transportation researchers are revisiting the methods of classifying travel activity patterns using geo-location data. The current study contributes to this research line by leveraging granular and detailed activity information collected from a navigation app, Metropia. 3 - Traffic Synchronization Protocol: Ising Model Phase Transitions in Hyperbolic Lattices of Accidents Goktug Islamoglu, Pamir, Cengelkoy Mah. Kalantor Sok. 16/3 Uskudar, Istanbul, 34680, Turkey When Turkey’s annual accident-vehicle graph is plotted from 1986 to 2016, the points form a spiral expanding around the regression line. Spiral symmetry breaks for all vehicle types except for LCVs (light commercial vehicles), implying a nonlinear dynamic behavior coexisting with the strong linear dependence of accidents to the number of vehicles. Its projection on a 2D cellular automaton through hyperbolic geometry exhibits a Tracy-Widom distribution and provides closed form solutions of the Ising Model. Emergence of accident formations in non-human sources of error suggest the need for a “synchronization protocol of autonomous vehicles, which are developed with the human error assumption. Supply Chain Design and Operations II Sponsored: TSL/Freight Transportation & Logistics Sponsored Session Chair: Burcu B. Keskin, University of Alabama, Tuscaloosa, AL, 35406, United States 1 - Designing a Centralized Distribution System for Omnichannel Retailing Jia Guo, University of Alabama, Tuscaloosa, AL, 35487-0226, United States, Burcu B. Keskin We focus on supply chain design and omnichannel strategies with demand segmentation, cost structure, and more importantly, the company’s execution ability. We formulate our problem as a two-stage stochastic programming model and use first-order optimality conditions to study the optimal inventory replenishment decisions. The omnichannel strategy decisions are made by analyzing the expected profit. We show that omnichannel strategies are not necessarily profitable for all retailers. Imperfect demand may result in losing the inventory pooling benefits when running omnichannel strategies. 2 - Try Before You Buy: Membership Program of Competing E-retailers Amy Pan, University of Florida, FL, United States, Gang Li, Ming Jin With the increasingly convenience of online shopping, more and more consumers prefer to make purchases from e-retailers. However, the disadvantage of the inability to try on and the need to wait for delivery still exists. Some e-retailers have implemented the try-before-you-buy (TBYB) program, which allows consumers to try on products at home to resolve the valuation uncertainty before making a purchase. We develop a theoretical model where two e-retailers may opt for TBYB program and find that the TBYB can soften the competition and increase consumer surplus. 3 - Benders Decomposition for Supply Chain Network Design Simon Belieres, LAAS-CNRS, 7 Avenue du Colonel Roche, Toulouse, 31400, France, Mike Hewitt, Tom Van Woensel, Nicolas Jozefowiez, Frederic Semet We consider a large-scale supply chain that must satisfy recurring customer n TC32 North Bldg 222B

n TC29 North Bldg 221B Modeling and Analysis of Emerging Mobility Services and Systems Sponsored: TSL/Urban Transportation Sponsored Session Chair: Yafeng Yin, University of Michigan, Ann Arbor, MI, 48109, United States Co-Chair: Yu Nie, Northwestern University, Evanston, IL, 60208, United States 1 - On the Supply Function of Ride-sourcing Systems Zhengtian Xu, University of Michigan, 2489 Stone Rd, Ann Arbor, MI, 48105-2540, United States, Yafeng Yin For shared-use systems, an increasing number of users usually brings about positive network effects, by improving the efficiency on utilizing the shared resources. However, Castillo et al. (2017) identified a matching failure that may arise in a ride-sourcing system when experiencing surge of demand. It is shown that under the stated condition, the platform may match scarce idle drivers with those requesting customers very far away and thus waste substantial supply on picking them up. To better understand and measure the system performance, this study seeks to build up a supply function to associate the performance measures with other basic macro-indicators of a ride-sourcing system. 2 - A Reservation Mechanism for Parking Slots Sharing Problems under Incomplete Information Setting Pengyu Yan, University of Electrolic Sicence and Technology of Chnia, Qingshuihe Campus:No.2006, Xiyuan Ave, West H, Chengdu, China, Heng He, Feng Chu, Debing Ni Parking sharing applications have been launched to deal with parking challenges in many metropolitans. Motivated by industry and literature, this study addresses a novel reservation mechanism for parking sharing services under a real-time and incomplete information setting. A polynomial heuristic algorithm is developed to match and schedule parking resources for drivers. It is shown that self-interested drivers manipulate the reservation system via misreporting their demands with a parking-time-based pricing. Thus, a truth-telling pricing method based on VCG is designed, which achieve allocation efficiency, individual rationality, and budget balance economic properties as well. 3 - An EABC Approach with Exact Loading and Unloading Strategies for Static Bike Repositioning Problem C.S. Shui, University of Hong Kong, Composite Building, Seat 16, LG 208, Hong Kong, Hong Kong C.S. Shui, The University of Hong Kong Shenzhen Institute of Research and Innovation, Shenzhen, China, W. y. Szeto This study investigates a bike repositioning problem (BRP) that determines the routes of the repositioning vehicles and the loading and unloading quantities at each bike station to firstly minimize the total demand dissatisfaction and then service time. To reduce the computation time to solve the loading and unloading sub-problem of the BRP, a novel set of loading and unloading strategies is proposed, proved to be optimal for a given route, and then embedded into an enhanced artificial bee colony algorithm to solve the BRP. Numerical studies show the computation efficiency of the proposed solution method and the trade-off between total demand dissatisfaction and the service time. 4 - Street-hailing vs E-haling: Modeling the Passenger Waiting Time of Personal Mobility Services Yu Nie, Northwestern University, A328 Technological Institute, 2145 Sheridan Road, Evanston, IL, 60208, United States, Kenan Zhang, Hongyu Chen Mobile computing technologies have triggered the rapid development of Transportation Network Companies (TNC) in recent years. Although the e-haling service provided by TNCs is normally believed to feature a higher matching efficiency, little is known about the underlying physics of passenger-driver meeting process. Based on the model developed in the previous work, this study investigates the passenger waiting time of both street-hailing and e-haling. Taxi trajectories and TNC operating data collected in Shenzhen, China are used to validate the model and to compare the passenger waiting time under various scenarios. n TC31 North Bldg 222A Joint Session TSL/Practice Curated: Traffic Models and Applications with Emerging Data Sources Sponsored: TSL/Intelligent Transportation Systems (ITS) Sponsored Session

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