2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
254
TA59
Cumberland 1- Omni
Modeling Interdependent Infrastructure Networks
Sponsored: Transportation Science & Logistics
Sponsored Session
Chair: Xiaozhang He, Perdue University, West Lafayette, IN,
United States,
1 - Algorithm To Identify Intermodal Project Prioritization
Irina Benedyk, Purdue University, West Lafayette, IN,
United States, , 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,
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
Liqun Lu, University of Illinois, Normal, IL, United States,
, Zhaodong Wang, Yanfeng Ouyang
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, , 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
Lauren Gardner, UNSW Australia, Sydney, Australia,
András Bota, Alireza Khani
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.
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,
1 - Green Same Day Package Delivery Service With
Real-time Demand
Lin Jane, University of Illinois - Chicago, ,
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,
, 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,
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,
, 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,
TA59