Mobility > Transportation The ability to move or be moved freely - - PowerPoint PPT Presentation

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Mobility > Transportation The ability to move or be moved freely - - PowerPoint PPT Presentation

MOBIL ILIT ITY Mobility > Transportation The ability to move or be moved freely and easily. MOBIL ILIT ITY MOBIL ILIT ITY USA Today, 2/20/2017: Cheap gas and a surging economy are taxing the nations roads and contributing to


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Mobility > Transportation

The ability to move or be moved freely and easily.

MOBIL ILIT ITY

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http://inrix.com/scorecard USA Today, 2/20/2017: “Cheap gas and a surging economy are taxing the nation’s roads and contributing to congestion that cost U.S. motorists almost $300 billion last year in wasted time and fuel … Los Angeles had the worst traffic in the world … INRIX.”

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ARPA-e NEXTCAR: Connected and Automated Control for Vehicle Dynamics and Powertrain Operation (GM Partnership)

GM Volt2 L2 Autonomous vehicles controls with V2X 5 Modes: Conventional – HEV – PHEV – EREV - EV

Bo Chen: Model based Controls Darrell Robinette: Powertrain and Optimization Mahdi Shahbakhti: Dynamic Models & Controls Kuilin Zhang: Traffic Theory and Simulation Chris Morgan / Chris Pinnow: Vehicle Instr. & Testing Jeremy Worm / Chris Morgan: Training and outreach

Houghton/Hancock Detroit, Chicago, M-City Large databases of single and multiple vehicles. Vehicle Platooning and Eco-Routing

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Traffic Theory and Simulation

  • Optimal Routing and Velocity Bounds
  • Connected and Automated Vehicle Traffic Simulation Platform
  • Real-time and Simulated Traffic with Optimal Routing and Velocity Bounds
  • Integrated vehicle and traffic simulation for technology assessment
  • Figure

1. A Connected and Automated Vehicle Driving Scenario

  • 2
1 Mobile Lab Mobile Cloud Computer Center ( Truck CAV 1 (alpha vehicle) CAV 2, 3, 4, 5, 6, 7, 8 g(2,t) Vehicle length position(1,t) position(i,t) – position
  • f
vehicle i at time t v(i,t) – velocity
  • f
vehicle i at time t a(i,t) – acceleration
  • f
vehicle i at time t. g(i,t) – gap
  • f
vehicle i at time t. e(i,t) – energy consumption
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vehicle i by time t. m(i,t) – driving mode
  • f
vehicle i at time t. …
  • ther
VD&PT and sensing data
  • position(2,t)
Mobile Cloud Computer Center ( Mobile Lab Truck) 3 4

Transportation Network Modeling and Optimization Traffic Flow Theory and Traffic Simulation CAV Driving Models and Applications

  • Dr. Kuilin Zhang

Civil and Env Engng. klzhang@mtu.edu

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Technical Training and Outreach

Christopher Morgan cjmorgan@mtu.edu

High Impact, Hands-On training and outreach

Jeremy Worm jjworm@mtu.edu

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Contacts

Centers and Institutes: MTTI (Pasi Lautala) – Transportation and Traffic MTRI (Joesph Burns) – Sensors and Signal Processing KRC (Jay Meldrum) – Vehicle mobility and testing in unstructured environments ICC (Ming Song) - Computing and cyber-systems GLRC (Guy Meadows) – On and In Sea APS LABS (Jeff Naber) – Vehicle technologies AIM (Wayne Weaver) – Robotics, connected vehicles, cyber security www.mtu.edu/research/about/centers-institutes Educational programs ACIA (ECE,CS, ST) – Cyber Security ME / ECE – Automotive Systems and Controls Coordination Brent Burns – Director of Federal & Industry Relations

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Discuss and Engage with the Panel Members and Others

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February 21, 2017

MICHIGAN TECH RESEARCH FORUM

TECHTALKS MOBIL ILITY