2016 INFORMS Annual Meeting Program
TA59
INFORMS Nashville – 2016
TA59 Cumberland 1- Omni Modeling Interdependent Infrastructure Networks Sponsored: Transportation Science & Logistics Sponsored Session Chair: Xiaozhang He, Perdue University, West Lafayette, IN, United States, seanhe@purdue.edu 1 - Algorithm To Identify Intermodal Project Prioritization Irina Benedyk, Purdue University, West Lafayette, IN, United States, birina@purdue.edu, Srinivas Peeta We propose intermodal connectivity measures for freight intermodal facilities and develop an algorithm to assist the system-level intermodal facility investment planning process. The intermodal connectivity measures combine spatial data, characteristics of the intermodal facilities and potential demand for intermodal freight transportation. The proposed algorithm helps to identify regions that require intermodal facility development, and can be used for intermodal project prioritization. 2 - Multi-objective Spare Parts Location-inventory Optimization Hector Vergara, Oregon State University, School of Mechanical, Industrial and, Manufacturing Engineering, Corvallis, OR, 97331, United States, hector.vergara@oregonstate.edu, Prasanna Venkatesh Rajaraman Facility location-allocation decisions and inventory stocking decisions are very important in spare parts logistics. Both sets of decisions affect service levels by establishing distances between customers and warehouses in facility location- allocation, and by determining the availability of parts in inventory stocking. Integrating location-inventory decisions and considering multiple objectives can help to overcome the sub-optimality of solutions obtained separately. This research formulated this problem as a nonlinear multi-objective model where the objectives are to minimize cost and maximize the service level. An NSGA-II approach is used to obtain Pareto optimal solutions. 3 - Interdiction And Restoration Of Interdependent Infrastructure Systems In Military Operations In the modern world with complicated politics and humanitarian concerns, military landpower in the war game is demonstrated by the interdiction on the urban infrastructure systems, which enables the offense .force to take control, as well as the restoration of the systems afterwards. An infrastructure interdependency model is integrated into interdiction-restoration decision- making framework as a two-stage optimization problem. 4 - Critical Component Strengthening Strategies To Enhance The Resilience Of Interdependent Infrastructure Systems Xiaozheng He, Purdue University, 3000 Kent Ave., West Lafayette, IN, 47906, United States, seanhe@purdue.edu, Chao Zhang, Srinivas Peeta This study proposes three component strengthening strategies to enhance the resilience of interdependent infrastructure systems, considering the failure propagation within and across the systems. These strategies are developed from structural, functional, and synergistic effect perspectives. Numerical examples are used to investigate the effectiveness of the proposed strategies and provide insights into enhancing the resilience of interdependent infrastructure systems. 5 - Identifying Critical Components Of The Public Transit Network To Mitigate Contagion Episodes We explore the risk posed by a regional public transit system in the event of an epidemic outbreak. We use metro transit data from Twin Cities, MN, and present a novel network structure to represent the contacts and movement of individuals using the transit system, which can be used to model outbreak behaviour within the region. The model developed is used to identify critical components of the system (e.g., super spreading vehicle-trips), which can be prioritized for monitoring and control during an emerging outbreak. Liqun Lu, University of Illinois, Normal, IL, United States, liqunlu2@illinois.edu, Zhaodong Wang, Yanfeng Ouyang Lauren Gardner, UNSW Australia, Sydney, Australia, l.gardner@unsw.edu.au, András Bota, Alireza Khani
TA60 Cumberland 2- Omni Modeling and Analysis of Innovative Mobility Services II Sponsored: TSL, Urban Transportation Sponsored Session Chair: Yu Nie, Northwestern University, 633 Clark Street, Evanston, IL, 60208, United States, y-nie@northwestern.edu 1 - Green Same Day Package Delivery Service With Real-time Demand Lin Jane, University of Illinois - Chicago, janelin@uic.edu, Wei Zhou, Lili Du This study evaluates a green same day delivery (green-SDDS) paradigm for its cost performance by comparing three delivery paradigms: hub-and-spoke, green- SDDS with a commercial fleet, and green-SDDS by crowdsourcing. Hub-and-spoke proves to be cost-effective for traditional distribution service provided by commercial carriers but ill suited for providing same day delivery service. Crowdsourcing provides low cost same day delivery service. Regardless of the delivery paradigm, total cost goes down as the economy of scale increases; and green-SDDS by crowdsourcing would become even more competitive when the demand ratio is very high; however, its fuel consumption and emissions tend to go up. 2 - Distributed Computation Based Car-following Control Integrating Optimal System Performance For A Platoon Of Autonomous Vehicles Siyuan Gong, PhD Candidate, Illinois Institute of Technology, 3201 South Dearborn Street, Chicago, IL, United States, sgong1@hawk.iit.edu, Jinglai Shen, Lili Du This research develops car-following control algorithms for a platoon of autonomous vehicles on a straight highway. The platoon is modeled as an interconnected multi-agent dynamic system subject to physical and safety constraints. A constrained optimization based control algorithm is developed to improve transient traffic smoothness and asymptotic dynamic performance. Distributed algorithms are proposed to compute optimal solutions, and stability analysis is carried out for the linear dynamics. Simulations are conducted to illustrate the efficiency of the proposed algorithms. 3 - Demand Adaptive Paired-line Hybrid Transit System In Radial Transit Network Yu Nie, Northwestern University, A328 Technological Institute, 2145 Sheridan Road, Evanston, IL, 60208, United States, y-nie@northwestern.edu, Peng Chen This paper proposes and analyzes a hybrid transit system in the radial transit network with both circular and radial transit lines. The hybrid transit system integrates the traditional fixed-route service with a demand adaptive service (DAS). The optimal design problem is formulated and solved. Both numerical experiments and simulation experiments are conducted to compare the performance of the proposed system with the same kind of hybrid transit system in the grid transit network. 4 - Shared-use Mobility And Parking Provision Zhengtian Xu, University of Florida, Gainesville, FL, United States, zhengtianxu@ufl.edu, Yafeng Yin, Liteng Zha Shared-use mobility services become increasingly important in meeting travel needs in metropolitan areas. The cruising of ride-sharing vehicles for customers generates additional traffic demand that may worsen the traffic condition. This study develops a parsimonious framework to investigate the allocation of a certain portion of road space to on-street parking for vacant ride-sharing vehicles. Various market competition situations, business models, and vehicle technologies are considered. TA61 Cumberland 3 – Omni TSL Prize Winners Sponsored: Transportation Science & Logistics Sponsored Session Chair: Maciek Nowak, Loyola University Chicago, Chicago, IL, mnowak4@luc.edu
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