Modeling Critical Infrastructure Khaled Abdelghany SMU - May 2005.

Slides:



Advertisements
Similar presentations
Expanding LTE for Devices European Commission Information Society and Media The aim of EXATED is to realise the vision of a new scalable.
Advertisements

Traffic Simulation & Optimization Hsuan Lee.
Cellular Networks.
TU/e - Eindhoven University of Technology – Urban Planning Group SIMULATION OF PEDESTRIAN MOVEMENT IN SHOPPING STREET SEGMENTS Aloys Borgers, Inger Smeets,
CITY LOGISTICS “Is the process of totally optimising the logistics and transport activities by private companies in urban areas while considering the traffic.
Melissa Ackert, E.I. Florida Department of Transportation
CROSS TOWN IMPROVEMENT PROJECT Randy Butler – FHWA.
Freight Advanced Traveler Information Systems and Cross Town Improvement Project Randy Butler January 18, 2012 Freight Dynamic Mobility Applications.
Presented by: Sheekha Khetan. Mobile Crowdsensing - individuals with sensing and computing devices collectively share information to measure and map phenomena.
Improving Transportation Systems Dan Work Civil and Environmental Engineering, UC Berkeley Center for Information Technology Research in the Interest of.
Spatiotemporal Pattern Mining For Travel Behavior Prediction UIC IGERT Seminar 02/14/2007 Chad Williams.
© 2009 Rochester Institute of Technology Geospatial Intermodal Freight Transportation (GIFT)
INNER CITY INVESTMENT SUMMIT TRANSPORT, INTEGRATED PUBLIC TRANSPORT NETWORK AND TRAFFIC MANAGEMENT Presenter: L N Mangcu SED: Transport and Roads Department.
Outline Objectives Related Work Modeling Framework Model Application: Tawaf in Makkah Experimental Design Results Demo.
Perception and Communications for Vulnerable Road Users safety Pierre Merdrignac Supervisors: Fawzi Nashashibi, Evangeline Pollard, Oyunchimeg Shagdar.
Karl Aberer, Saket Sathe, Dipanjan Charkaborty, Alcherio Martinoli, Guillermo Barrenetxea, Boi Faltings, Lothar Thiele EPFL, IBM Research India, ETHZ.
Urban Transportation Planning. Land Use - Transportation Cycle.
1 A Delay-Aware Reliable Event Reporting Framework for Wireless Sensor-Actuator Networks Presented by Edith Ngai Supervised by Prof. Michael R. Lyu Term.
A Multi-Agent System for Visualization Simulated User Behaviour B. de Vries, J. Dijkstra.
Norman W. Garrick Transportation Forecasting What is it? Transportation Forecasting is used to estimate the number of travelers or vehicles that will use.
H2020 Transport 2015 call Brokerage event 2 February 2015 Project Presentation – IMPALA_RS Christine Turetschek (AIT)
Interactions between actors involved in planning and design decision processes Prof.dr.ir. B. de Vries.
Towards A Multi-Agent System for Network Decision Analysis Jan Dijkstra.
1 Supply Chain Decision Support Systems ISyE3103.
COLLABORATE. INNOVATE. EDUCATE. A Web-based Tool for Visualization of Transit Modeling Results and Data Alireza Khani, Greg Abram, Natalia Ruiz Juri and.
Efficient Mapping and Management of Applications onto Cyber-Physical Systems Prof. Margaret Martonosi, Princeton University and Prof. Pei Zhang, Carnegie.
Cross-Town Improvement Project Project Update Ron Schaefer January 20, 2009.
Innovative ITS services thanks to Future Internet technologies ITS World Congress Orlando, SS42, 18 October 2011.
USDOT, RITA RITA: Oversight of USDOT’s R&D programs  University Transportation Centers $100M  UTC Consortia $80M  UTC Multimodal R&D $40M  Intelligent.
INTEGRATED TRANSPORT CHAINS Transparencies 2003 EU-funded Urban Transport Research Project Results TRANSPORT TEACHING MATERIAL.
1 Heterogeneity in Multi-Hop Wireless Networks Nitin H. Vaidya University of Illinois at Urbana-Champaign © 2003 Vaidya.
The Palestinian Perspective on the Cooperation in R&D in Sustainable Urban Mobility Khaled Al-Sahili An-Najah National University Palestine Rabat 19 May.
1 Road network vulnerability: Identifying important links and exposed regions Erik Jenelius, Tom Petersen, Lars-Göran Mattsson Department of Transport.
Client Name Here - In Title Master Slide Data Requirements to Support Road Pricing Analyses Johanna Zmud, Ph.D. NuStats Partners, LP Expert Forum on Road.
Dallas ICM Pioneer Site Stage 1 Lessons Learned Webinar July 24, 2008.
Disseminating Traffic Data over Vehicles on Road  A Preliminary Proposal to the ITA Demo Project Presented by Bo Xu.
Los Angeles County Metropolitan Transportation Authority Overview of Metro’s Transportation Program Pam O’Connor Metro Chair July 25, 2007.
1 Challenge the future Feed forward mechanisms in public transport Data driven optimisation dr. ir. N. van Oort Assistant professor public transport EMTA.
A Distributed Coordination Framework for Wireless Sensor and Actor Networks Tommaso Melodia, Dario Pompili, Vehbi C.Gungor, Ian F.Akyildiz (MobiHoc 2005)
A Message Ferrying Approach for Data Delivery in Sparse Mobile Ad Hoc Networks Reporter: Yanlin Peng Wenrui Zhao, Mostafa Ammar, College of Computing,
ITS What are the ITS applications? To increase the safety and capacity of existing facilities How much is ITS? When to deploy ITS? Intelligent Transportation.
Strategy for Tallinn’s Mobility Environment : SUTP from future to today Andres Harjo Head of Transport Department of Tallinn Priit Võhandu Arbitark.
Optimal Self-placement of Heterogeneous Mobile Sensors in Sensor Networks Lidan Miao AICIP Research Oct. 19, 2004.
ROSETTA Real OpportunitieS for Exploitation of Transport Telematics Applications 5th Framework Project Partners TRGMike McDonald, Richard Hall (Project.
ITU-T Workshop “ICTs: Building the green city of the future” - EXPO-2010, 14 May 2010, Shanghai, China Committed to Connecting the World ITU-T Workshop.
Designing Games for Distributed Optimization Na Li and Jason R. Marden IEEE Journal of Selected Topics in Signal Processing, Vol. 7, No. 2, pp ,
Cross-Town Improvement Project (C-TIP) Ron Schaefer Program Manager Science Applications International Corporation (SAIC)
Public Transportation Planning: Rapid transit solutions for adequate mass movement Mobility.
Is the Internet Ready for Multimedia? Ahmed Helmy University of Southern California.
Travel Modeling 101 Sustainable Communities Policy Forum 3 Improving the Models March 5, 2014 Caroline Rodier, Ph.D. Urban Land Use and Transportation.
Data and Computer Communications Chapter 10 – Circuit Switching and Packet Switching.
Overview of Cellular Networks Mobile Ad hoc Networks Sensor Networks.
Urban Infrastructure and Its Protection Responding to the Unexpected Interest Group Report.
Verein Konstantin Melnik Svetlana
BDTS and Its Evaluation on IGTMD link C. Chen, S. Soudan, M. Pasin, B. Chen, D. Divakaran, P. Primet CC-IN2P3, LIP ENS-Lyon
ADVANCED TRANSPORTATION AND CONGESTION MANAGEMENT TECHNOLOGIES DEPLOYMENT (ATCMTD) PROGRAM 1 Bob Arnold, Director Office of Transportation Management,
Real-Time Traffic Network Management System Hossein Hashemi Transportation Research Laboratory.
Approaches, CHALLENGES,STANDARDS,
Overview of Wireless Networks:
1st November, 2016 Transport Modelling – Developing a better understanding of Short Lived Events Marcel Pooke – Operational Modelling & Visualisation Manager.
Mathematical Modelling of Pedestrian Route Choices in Urban Areas Using Revealed Preference GPS Data Eka Hintaran ATKINS European Transport Conference.
Introduction and Workshop Objectives
Cellular Transport.
Binit Mohanty Ketan Rajawat
SmartCity: Public transportation planning based on Cloud Services, Crowd Sourcing and Spatial Decision Support Theory. Jonathan Frez1, Nelson Baloian2,
Active Transport S7L2: Students will describe the structure and function of cells, tissues, organs, and organ systems. a. Explain that cells take in nutrients.
Welcome to the New Smart City by TrafficCast…
Modeling and Enhancing Freight Mobility in the Philadelphia Region
Comparison and Analysis of Big Data for a Regional Freeway Study in Washington State Amanda Deering, DKS Associates.
Presentation transcript:

Modeling Critical Infrastructure Khaled Abdelghany SMU - May 2005

Problem 1 On the Optimal Deployment of Heterogeneous Surveillance Devices in Critical Infrastructure Networks Collaborators: Hesham El-Rewini, SMU

Heterogeneous set of surveillance Devices Reliability Lifespan Mobile capability Energy scheduling capability

Dynamic Infrastructure Networks Networks: Different criticality levels Different vulnerability levels 57 t = 1 t = 2 t = 3t = 4t =

Objective Function: Maximizing Network Coverage Maximize: Assign high-weight observations to surveillance devices with high reliability

Problem 2 Modeling Pedestrians Dynamics in Crowded Facilities using Cellular Automata Collaborators: Ahmed Abdelghany UoA Hani Mahmassani UoM

Cellular Automata The environment of interest is divided into cells. Individuals are moving between these cells according to microscopic behavioral rules.

Activity-Chaining in Pedestrians Facility Entering Shopping Exiting

Real-time destination choice and changing movement direction. Cell j Cell i Cell c Pedestrian P Cell n Cell m Cell o InitiallyLater

Congestion Perception Willing to move into congestion Not willing to move into congestion

Problem 3 On the Assessment of Urban Intermodal Transportation Networks Vulnerability Collaborators: Hani Mahmassani UoM Ahmed Abdelghany UoA

Research Objective To Develop a Dynamic Trip Assignment Model for Intermodal Transportation Networks

Traffic Route Assignment Origin Destination /Activity Transfer HOV

Modeling Framework

Modeling Disconnects in Intermodal Networks

Questions?