Facilities and Resources

  • State-of-the-art instrumentation throughout the facility includes a control network to collect data about traffic activity using wireless, fiber optics, Ethernet, and a highly accurate real-time kinematic positioning system.

  • Patent-pending augmented reality testing technology allows physical test vehicles to interact with virtual connected vehicles in real time inside the facility.

  • Open-source API controls testing conditions throughout the facility.

  • Infrastructure can be controlled with software.

  • The facility uses vehicle-to-everything (V2X) communication throughout the facility and 5G connectivity.

Mcity Traffic Control Center

Mcity Traffic Control Center deploys a state-of-the-art advanced traffic management system. This system is able to monitor and control all infrastructure devices including roadside units, traffic signal controllers, vehicle detectors, and video cameras, for the testing of connected and automated vehicles. A data collection and management system allows all data collection in Mcity to be transmitted back to the traffic control center for both real-time and off-line access, analysis and visualization.

Augments Reality Environment for Mcity

The traffic control center provides an augments reality environment for connected and automated vehicle testing, in which movements of testing vehicles and traffic signals in the real-world can be synchronized in simulation, while simulated traffic information can be transmitted to testing vehicles communication system. The augments reality environment enables real concerned and automated vehicles to interact with simulated background vehicles, which offers realistic traffic environment for testing.

American Center for Mobility is a collaborative effort comprised of government, industry and academic organizations focused on accelerating the mobility industry through research, testing, standards development and educational programming.

Located in Southeast Michigan on over 500-acres at the historic Willow Run site in Ypsilanti, the ACM offers:

  • A smart city test center providing a safe platform for the integration, testing and validation of connected and autonomous vehicle and mobility technologies

  • A technology park for the co-location and incubation of mobility companies

  • An event center for showcasing connected and autonomous vehicle technologies and convening industry activities

The American Center for Mobility is a joint initiative with the State of Michigan founded in partnership with the Michigan Department of Transportation, the Michigan Economic Development Corporation, the University of Michigan, Business Leaders For Michigan and Ann Arbor SPARK.

Safe AI Framework for Trustworthy Edge Scenario Test (SAFE-TEST)

It is well-known that scenario generation is essential for testing and evaluation of automated vehicles (AVs), but how to generate realistic and trustworthy scenarios efficiently remains an open question. To address this challenge, in the past few years, University of Michigan’s Center for Connected and Automated Transportation (CCAT) has developed a scenario generation toolbox that can accelerate the development and validation of automated vehicles. This toolbox, which has been implemented at the American Center for Mobility (ACM), includes the augmented reality (AR) testing platform and the naturalistic and adversarial driving environment (NADE). With AR, a real AV can be tested at a test track with interaction from virtual traffic flow. With NADE, the maneuvers of virtual background vehicles will be controlled intelligently, in that most of scenarios are generated from naturalistic driving data, and only at selected moments, adversarial scenarios are generated to challenge the AV under test. The theory behind NADE ensures both the unbiasedness and the efficiency of the testing scenario generation. With this toolbox, every testing mile at ACM can be converted into thousands of equivalent miles on public roads, which can significantly reduce the development costs and shorten the development cycle. In this work, we will introduce this advanced technology and demonstrate its effectiveness by testing a L4 experiment vehicle at ACM.

Ann Arbor Connected Vehicle Test Environment (AACVTE) is the world’s largest operational, real-world deployment of connected vehicles and connected infrastructure, built on the existing Ann Arbor Safety Pilot Model Deployment (SPMD) project. Over 2,500 vehicles (e.g., passenger vehicles, buses, and trucks) are equipped with connected vehicle (CV) devices including passenger vehicles, commercial trucks, and buses. The CV devices enable V2V communication for safety applications, including Forward Collision Warning (FCW) and Intersection Movement Assist (IMA). Furthermore, the SPMD infrastructure footprint has grown from 25 sites to over 70 infrastructure locations equipped with Road Side Units (RSUs). The figure shows the AACVTE deployment area and infrastructure sites. The sites include

  • 2 Curve Speed Warning Sites (4 RSUs),

  • 4 Pedestrian mid-block crosswalks (4 RSUs),

  • 60 Intersections (5 at freeway entrance/exit ramps),

  • 1 Roundabout,

  • And 5 staging/testing sites

CV systems generate a massive amount of data on a scale not seen in the traditional transportation systems, from both On-Board Units (OBUs) and Road-Side Units (RSUs). The OBU will broadcast basic safety messages (BSMs) to the surrounding CVs and RSUs that within the communication range. The RSUs located at the 60 intersections are connected to the traffic signal controllers and broadcast signal phase and timing (SPaT) messages and MAP messages to support infrastructure-related applications such as Red Light Violation Warning (RLVW) and Curve Speed Warning (CSW). All vehicle and infrastructure communications follow national and international standards including SAE J2735, SAE J2945, IEEE 1609.2, IEEE 1609.3, etc., and, with the exception of the 5 staging/testing sites, utilize production security certificates to ensure security and privacy. Through the City’s optical fiber network, both BSM and SPaT data are forwarded to the data server located at the University of Michigan Transportation Research Institute (UMTRI) in real-time. A web interface that visualized the Live Traffic of AACVTE developed by MTL and UMTRI can be viewed here!