2016 INFORMS Annual Meeting Program

293 / 561

INFORMS Nashville – 2016
293
TB89
Broadway C-Omni
Evolution of Network-wide Traffic Dynamics
Sponsored: TSL, Intelligent Transportation Systems (ITS)
Sponsored Session
Chair: Alireza Khani, University of Minnesota, 136 Civil Engineering
Building, 500 Pillsbury Drive S.E., MInneapolis, MN, 55455, United
States,
1 - A Node Splitting-Recovery Model For Congestion Evolution
Process On Road Networks
Xianyuan Zhan, Purdue University, Evanston, IL, United States,
, Satish V. Ukkusuri, Suresh C. Rao
This study presents a node splitting-recovery model for congestion evolution
process on urban road networks. We introduce a new dynamic graph
representation of road networks that incorporates both the network structure as
well as functional states. The congestion evolution in road networks can be
modeled as an equivalent node splitting-recovery process on the new graph
representation. The congestion evolution data of Beijing road network are
collected and used to analyze the real world congestion evolution pattern as well
as the node splitting-recovery process.
2 - Doubly Dynamic Traffic Assignment Model Based On Regional
Macroscopic Fundamental Diagrams
Xiaozhang He, Perdue University, West Lafayette, IN, United
States, , Mehmet Yildirimoglu, Srinivas Peeta,
Xiaozhang He
This study develops a doubly dynamic traffic assignment model, incorporating
within-day and day-to-day dynamics, to capture interactions between demand
and supply in heterogeneously congested urban transportation networks. The
model is constructed on homogenous sub-regions with static macroscopic
fundamental diagrams. Numerical examples are used to investigate the properties
of equilibrium states that provide insights for developing coordinated traffic
management strategies.
3 - Modeling Cruising Dynamics For Downtown CurbsideParking
Zhengtian Wu, University of Florida, Department of Civil and
Coastal Engineering, Gainesville, FL, United States,
, Yafeng Yin
Cruising for parking not only worsens traffic conditions, but also causes additional
energy consumptions and emissions. This study presents a macroscopic model for
cruising dynamics in a downtown parking system. The stationary states of the
system as well as their stabilities are investigated under different facility scenarios
and operation strategies. The optimal occupancy of curbside parking as well as the
recommendations for downtown parking management are provided.
TB90
Broadway D-Omni
Health Care, Modeling X
Contributed Session
Chair: Stephen Hill, University of North Carolina Wilmington, 601
South College Road, Wilmington, NC, 28403-5611, United States,
1 - Assortment And Inventory Planning In Health Care Sector
Satyaveer S Chauhan, Concordia University, 0ffice Mb11317,
1455 De Maisonneuve Boulevard West, Montreal, QC, H3G 1M8,
Canada,
In this work we present a mathematical programming model to decide the
number of custom trays and their contents based on past usage, preferences, cost,
etc. We design custom trays for each available surgical tray. The overall model is
binary integer model and we present a decomposition based approach. The model
is tested on available real data set.
2 - Healthcare Distribution Response To A Zika Virus Vaccine
Victor R Prybutok, University of North Texas, 1155 Union Circle,
311160, Denton, TX, 76203-5017, United States,
, Rebecca A. Scott, Gayle Prybutok
Rapid healthcare response is analyzed for the yet developed Zika virus vaccine
using a contextualized travelling salesman problem and newsvendor model. The
model allows evaluation of the importance of decision making factors.
Implications are reported that provide insights for increasing the ability to
respond in a populated urban area.
3 - Agent Based Simulation Of Influenza Spread On A
College Campus
Stephen Hill, University of North Carolina Wilmington, 601 South
College Road, Wilmington, NC, 28403-5611, United States,
Agent-based simulation has been shown to be a useful tool for exploration of the
dynamics of social interaction. In this work, the spread of influenza in the highly-
social and compact community of a university campus is explored. Implications
for disease control and intervention are described.
TB94
5th Avenue Lobby-MCC
Technology Tutorial: SAS/SAS-JMP
Technology Tutorial
1 - SAS: Building And Solving Optimization Models With SAS
Edward P Hughes, SAS Institute, Inc., Sas Institute Inc.,
Sas Campus Drive, Cary, NC, 27513, United States,
SAS provides a broad and deep array of data and analytic capabilities, including
data integration, statistics, data and text mining, econometrics and forecasting,
and operations research. The SAS optimization, simulation, and scheduling
features coordinate easily and fully with other SAS strengths in data handling,
analytics, and reporting. OPTMODEL from SAS provides a powerful and intuitive
algebraic optimization modeling language and unified support for building and
solving LP, MILP, QP, NLP, CLP, and network-oriented models. And because
OPTMODEL is also a SAS procedure (software module), it integrates seamlessly
with the entire family of SAS functions, procedures, and macros. We’ll
demonstrate how you can use OPTMODEL to solve both basic and advanced
problems, highlighting its newer capabilities and its support for both standard and
customized solution strategies
2 - SAS: Data Discovery And Analysis With JMP 13 Pro
Mia L Stephens, SAS Institute Inc, PO Box 290, York Harbor, ME,
03911, United States,
JMP Statistical Discovery Software is visual and interactive desktop software for
Windows and Mac, with a complete array of integrated graphical and statistical
features. In this workshop we use the newly released JMP 13 Pro to demonstrate
tools for data preparation, visualization, and exploration, including recode, Graph
Builder®, the data filter, and geographic mapping. We’ll see how to analyze
univariate, bivariate, and multivariate data, and will demonstrate tools for
building and interacting with predictive models. Finally, we’ll see how to share
results using HTML output and interactive web reports.
Tuesday, 12:30PM - 2:30PM
Poster Session
Exhibit Hall
Tuesday Poster
Poster Session
An Optimization Algorithm For Train Timetabling Problem Based
On Lagrangian Relaxation
Haiying Li, Prof., Beijing Jiaotong University, Shangyuan Cun
No.3, Haidian District, Beijing, 100044, China, ,
Zhengwen Liao, Jianrui Miao, Lingyun Meng
The research established a cumulative flow variable-based binary programming
model for train timetable optimization. A Lagrangian relaxation based time-space-
state network was designed to decrease the problem scale by transforming the
complicated schedule problem into a set of time-space shortest path problems of
independent trains.
Sparsely-sampled Hyperspectral Beam-scanning Imaging System
Based On 3d Triangular Lissajous Trajectory
Haonan Lin, Purdue University, West Lafayette, IN, United States,
Nan Kong
In this work we exploited information redundancy of spatially and spectrally
adjacent pixels in hyperspectral images, so as to recover the complete image with
low sampling fill rate. 3D triangular wave Lissajous trajectory with high least
common multiplier was used to sparsely sample the hyperspectral data cubes.
Model-based image in-painting is applied to recover the complete data cubes.
Results based on the sparse-sampled version of a hyperspectral coherent Raman
scattering image indicates that 10% fill rate is able to recover an image without
much quality degradation.
POSTER SESSION