Transport Data Integration and Fusion. Shaleen Srivastava Mike Jones Joel Marcuson 2008/2009



Similar documents
The TomTom Manifesto Reducing Congestion for All Big traffic data for smart mobility, traffic planning and traffic management

Big Data Collection and Utilization for Operational Support of Smarter Social Infrastructure

Presented by: Dr. Senanu Ashiabor, Intermodal Logistics Consulting Inc. at 2015 North Carolina MPO Conference April 30, 2015

Implementation of traffic effect estimations. for intermodal dynamic routing services on VIELMOBIL - an. ITS-platform for the RheinMain region

SMART TRANSPORTATION

Channels of Delivery of Travel Information (Static and Dynamic On-Trip Information)

Simulating Traffic for Incident Management and ITS Investment Decisions

Statewide Traffic Flow Data: Probe Vehicle Study for Iowa DOT

Ahead of the Curve with Intelligent. Transportation

Big Data for Transportation: Measuring and Monitoring Travel

Wireless monitoring of our road network: Current application and future opportunity Uncovering the potential of wireless sensing

Big Data in Automotive Applications: Cloud Computing Based Velocity Profile Generation for Minimum Fuel Consumption

Linking Planning and Operations Initiative A Data Driven Approach. Chris Francis Transportation Statistics

Integrated Platforms. Includes: - Environmental monitoring system - Integrated Traffic Management - Network Monitoring. Index. Purpose.

Parking Management. Index. Purpose. Description. Relevance for Large Scale Events. Options. Technologies. Impacts. Integration potential

Bedford s Network Management Strategy ( ) November 2010

Technologies and Techniques for Collecting Floating Car Data. Mike Hayward Head of Vehicle Telematics WS Atkins Transport Systems

M2M ATDI services. M2M project development, Business model, Connectivity.

Integrated Data System Structure for Active Traffic Management - Planning and Operation

Traffic Management for a Smarter City:Istanbul Istanbul Metropolitan Municipality

Module 2.1. Page 1 of 10. Slide 1

Fleet management system as actuator for public transport priority

22 nd ITS World Congress Towards Intelligent Mobility Better Use of Space. GPS 2: Big Data The Real Value of Your Social Media Accounts

Incorporating Peak Spreading into a WebTAG Based Demand Model

Urban Mobility India 2011 The IBM Smarter Cities Solutions: Opportunities for Intelligent Transportation

REPEATABILITY ENHANCEMENTS OF TRAFFIC SIMULATOR BY INTRODUCTION OF TRAFFIC FLOW COMPENSATION METHODS

Academic Reading sample task Identifying information

PERFORMANCE MEASURES FOR MOBILITY MANAGEMENT PROGRAMS

Tools and Operational Data Available st RESOLUTE Workshop, Florence

USE OF STATE FLEET VEHICLE GPS DATA FOR TRAVEL TIME ANALYSIS

Lesson 2: Technology Applications Major Transit Technologies Grouped by Function

BIG DATA FOR MODELLING 2.0

HAVEit. Reiner HOEGER Director Systems and Technology CONTINENTAL AUTOMOTIVE

Craig McWilliams Craig Burrell. Bringing Smarter, Safer Transport to NZ

Getting natiowide traffic and mobility monitoring from BigData

GPS-Based Highway Performance Monitoring:

3D Vision An enabling Technology for Advanced Driver Assistance and Autonomous Offroad Driving

Using Big [Traffic] Data to help Drivers, Road Authorities and Businesses

Use of System Dynamics for modelling customers flows from residential areas to selling centers

CELL PHONE TRACKING. Index. Purpose. Description. Relevance for Large Scale Events. Options. Technologies. Impacts. Integration potential

Ideal Public Transport Fares

TomTom HAD story How TomTom enables Highly Automated Driving

Performance Measures for RIDOT s Traffic Management Center

INTELLIGENT TRANSPORT SYSTEMS. Integrated urban traffic management and control strategies

Intelligent Transportation System - I

Traffic Simulation Modeling: VISSIM. Koh S.Y Doina 1 and Chin H.C 2

Electronic Toll Collection

Impact of Connected Automated Vehicles on Traffic Management Centers (TMCs)

Infrastructure and Growth Leadership Advisory Group Ideas and Approaches Survey

Politecnico di Milano Advanced Network Technologies Laboratory

Central Regional Traffic Management Center

Delivering Intelligent Transport Systems. Driving integration and innovation

TracKing. A complete web-enabled temperature management system.

MODELING TRANSPORTATION DEMAND USING EMME/2 A CASE STUDY OF HIROSHIMA URBAN AREA

Shared Mobility Systems. Prof. Ing. Adrian Muscat, University of Malta D-Air Seminar, Intercontinental, St. Julians, Malta

The Role of Big Data and Analytics in the Move Toward Scientific Transportation Engineering

AGENDA. What are O-D studies? What is an O-D Matrix? Road Deterioration Ideas for O-D studies. What s next? Questions or comments References

CHAPTER 3 AVI TRAVEL TIME DATA COLLECTION

TTI Research and Implementation

Intelligent Freight Transportation Systems

PROJECT PREPARATORY TECHNICAL ASSISTANCE

SF Bay Area Transportation Management Systems: An Innovative DOT and MPO Partnership

How To Manage Your Fleet With Beacon Wireless Zoom! And Marion Gathena

Appendix A - Cost Estimate Spreadsheet

URBAN MOBILITY IN CLEAN, GREEN CITIES

Monitoring Program Results and Next Steps

Contents. List of figures List of tables. Abbreviations

Data Governance. Managing data as an asset

Load Balancing Using a Co-Simulation/Optimization/Control Approach. Petros Ioannou

Study and Calculation of Travel Time Reliability Measures

Functional Requirements Document -Use Cases-

POLARIS: Planning and Operations Language for Agentbased Regional Integrated Simulation

Roads Task Force - Technical Note 10 What is the capacity of the road network for private motorised traffic and how has this changed over time?

The deployment of public transport innovation in European cities and regions. Ivo Cré, Polis

Doppler Traffic Flow Sensor For Traveler Information Systems. October,

RTMS Solutions. Detection solutions to fit your city s needs.

Berlin Traffic Control Centre Traffic Management Ensures Urban Mobility

Transcription:

Transport Data Integration and Fusion Shaleen Srivastava Mike Jones Joel Marcuson 2008/2009

TDI What is it? Data Fusion Process for Transportation System All Forms of Inputs Agency Provided Detector Data Cell Phone Data Transit Schedules Provides 24/7 Regional Operational Picture Cars Trucks Buses/Trains/Transit Bicycles/Peds

TDI What Does It Do? Operational Data Speeds Volumes Congestion Points Origin-Destination Information for all Travel Can Separate by Mode Buses/Trains/Transit Cars/Trucks Bicycles/Peds

TDI How Does It Do It? Collects all MOTION Data Detectors GPS License Plate Recognition E-Tags Cell Phones Etc (Open System) Data Fusion Process Determines What Data Good/Bad Uses Good Data Creates 24/7 Operational Representation

TDI How Can It Be Used? Operators and Regional Agencies Continuous Update on State of Transportation All Facilities/Modes, All the Time Performance Measurements, Continuously Peak Hour Traffic Counts Operational Efficiency of all Forms of Transportation Environmental Readings Instantaneous Readouts of any Changes Accurate Impacts from Incidents/Accidents Ability to Report Changes or Events, Instantly And to predict if linked to a simulation environment.

TDI How Can It Be Used? Research Automatic Traffic counters Simulation of new concepts (before) Impacts of changes on entire system Automated measurements of test (after) Impacts due to incidents can be catalogued Impacts due to ITS devices (DMS, etc) can be measured Environmental Impacts of Modal shifts Benefit / cost analyses, true time savings estimates

TDI How Can It Be Used? Travellers Personal Travel Predictions By Mode Intermodal Future Travel

TDI Information can assist; Personal Travel, Vehicles and Goods Transport Congestion Management Incident/Accident Detection and Management Roadwork Planning and Management Emergency Planning Transport, Urban and Environmental Planning Traveller Behaviour Analysis Traveller Safety and Sustainability Cost Benefit Analysis of Road Schemes and Their Monitoring

Why we need it? Development in our Cities Utilizing ITS for Congestion Modelling future Transportation Road Safety and Emergency Planning Bus/Rail Transit Systems Active Network Management Travel Demand Management Improving Environment and Quality of Life Technology Convergence Economic Engine/Competitiveness

What is required? New Thinking Client Data Public Transport Roads Spatial Data Cell Phone Data Innovative Approach Jacobs Data processing Data fusion Services Techno- Convergence Client Specific User Interface Macro Model Geographic User Interface Micro Model

Traffic Management Centre Relationship Integrated Transport LEGEND

Cutting Edge Technology Jacobs Processing

Unique Transport Data Integration Basic models and components Conventional TMC and wireless traffic data fusion Real-time dynamic multimodal O-D matrix estimation JT, classified flows and close resolution at turn level Models of driver response to guidance Our innovation Guidance on all roads with even those without real-time data and adaptive guidance in presence of uncertainty

Benefits Fast, accurate and convenient dynamic data acquisition Reduced physical infrastructure investment Quick solution to existing highway problems Real-time multimodal traffic models with Comprehensive real-time information Multimodal planning and interchange policies Sustainability due to pedestrians/cyclists in planning Improved monitoring and benefit assessment Short, medium and long term travel predictions Improved Road Safety Improved Disaster Management Wider coverage

Thank You Miller House, Lower Stone Street Maidstone, Kent ME15 6GB United Kingdom www.jacobs.com