Services &

ACM Technicians & Engineers

Intertek is the preferred operational partner at American Center for Mobility providing services to aid ACM customers in achieving their test goals in areas such as:


Automatic Emergency Braking (AEB)

Automatic Parking

Automotive Navigation System

Blind Spot Monitoring

Crash Imminent Braking (CIB)

Collision Avoidance System

Driver Monitoring System


Forward Collision Warning (FCW)

Lane Keep Assist System (LKAS)

Traffic Sign Recognition

Turning Assistant

Vulnerable Road User (VRU) Detection System

Product design troubleshooting & recommendations

R&D support

Identify/solve regulatory & certification requirements


Identify/solve testing challenges

Performance & safety assessments

Systems plan development, including analysis on integrated components

Assistance with documentation

New technology requirements

New automotive market demand

Simplifying complex requirements

Design for compliance with current/upcoming regulations

Resolve existing issues and anticipate future challenges

Test Environments - Equipment, Infrastructure, EV

Remote Programmable Infrastructure Tool: MCity OS

DRI Soft Car 360 Global Vehicle Target

Euro NCAP Vehicle Target (EVT)

4 activePS Static Adult and Child pedestrian targets and surfboards

Moshon Data Foam Core Vehicle Target

Moshon Data Foam Slab Vehicle Target

RaceLogic VBOX ADAS Data Acquisition and RTK System

OxTS RT-Base S

AB Dynamics Guided Soft Target with a self-propelled platform

AB Dynamics Pedal Robot

EV Chargers

Escort and Interaction Vehicles

Vehicle Evaluation, Validation and Standards Evaluation

Accelerated Mileage Accumulation

Data Acquisition and Comprehensive Reporting

Energy Storage System Cycling and Performance Measurement

EV Infrastructure Testing

Fleet Vehicle Monitoring

Public Road & Closed Track Testing

Rough Road Testing

Evaluate Interoperability between Devices and Vehicles

Dedicated Short Range Communications (DSRC) V2X

5G communications V2X

Sensor Durability

Technology Tool Set

Autonomous Cloud - ITS User Control - Safe Test

Autonomous Cloud: Built on Microsoft Azure with integrations to partner services, providing a secure and scalable data analytics platform and support for the development & testing of AV models. ACM Autonomous Cloud services are provided under a consumption and/or outcomes-based subscription, significantly reducing upfront hardware/software stack and resource expertise investments.

To become a user of the ACM Autonomous Cloud, contact ACM experts to start customizing a suite of tools to meet your simulation test needs.

A Collaborative Approach to the CAV Development Life Cycle

American Center for Mobility and Services Partners Deloitte, Siemens and Microsoft have collaborated to enable an expansion on ACMs technology toolset offerings. Under this ecosystem partnership, Deloitte has designed, implemented and operates the ACM Autonomous Cloud, a Platform-as-a-Service offering for our clients to address these broad requirements:

Data Management & Analytics


Simulation & Modeling

Augmented Reality 

AI Model Development

ACM has partnered with Deloitte to support the Connected Autonomous Vehicle industry, with the shared vision to create a joint, collaborative business model using modern cloud technologies that will create engineering efficiencies such as accelerating time-to-value/market and lowering costs.

Quickly build real-world test scenarios

Easily set up initial conditions for repeatability

Minimize human interaction

Ease the use of complex testing and disparate infrastructure systems

Collect data to verify results

Provide path to compare results to simulation

Share results in a common format for interoperability, collaboration

ITS User Control

ACM ITS User Controlled Platform (UCP)

The ACM ITS UCP makes it possible for engineers to create and execute complex, sophisticated, and easily repeatable test scenarios in the cloud, potentially saving testing time and costs, and accelerating product development.

Build on the University of Michigan's McityOS platform (using Skyline and Octane), the ACM ITS UCP runs on any internet-enabled device allowing it to control all vehicle test features available. The cloud-based open-source operating system gives users point-and-click control over interactions between vehicle and the ACM smart mobility test center facility features and infrastructure.

Customize and integrated with the ACM infrastructure and test equipment

Quickly build real-world test scenarios

Easily set up initial conditions for repeatability

Minimize human interaction

Ease the use of complex testing and disparate infrastructure systems

Collect data to verify results

Provide path to compare results to simulation

Share results in a common format for interoperability, collaboration


Access ACM infrastructure fiber network and integrated devices.

Query and control traffic, communications, and infrastructure devices.

Build complex ITS control scripts to automate traffic and testing scenarios.


Intersection Traffic Controls.

DSRC RSU communications.

Options to implement additional sensor feeds, controls of lighting, gates, and other infrastructure systems.

Other IOT/Plug-and-Play network controllable devices.

Utilization of these systems can be performed both:

Remotely (offsite.) Allows for live development, testing, validation, and debugging of API control scenarios prior to onsite visits.

Trackside (onsite.) Via ACM wi-fi or cellular hotspot internet access. Allows for onsite control, execution, and logging to physical test scenarios.

When used in conjunction with additional ACM capabilities, users can leverage other onsite tools including:

In vehicle GPS/GNSS RTK measurement solutions (2cm) accuracy.

GPS/GNSS RTK Survey Equipment.

In-vehicle data logging and video solutions.

Synchronized robotics (testing target platforms, in-vehicle pedal and steering robots).

Triggering solutions.

Custom environment build-outs.

Mapping and simulation solutions.

The ability to develop and execute repeatable, synchronized scenarios and collect timestamped data from multiple sources both in-vehicle and facility ITS.


One of the primary benefits of the platform is the ability to trigger” specific scenario outputs, based on chosen inputs. This provides the ability to generate repeatable ITS related scenarios. Typical trigger inputs can be:


Button/Manual devices


V2X (OBU/GPS location, RSU message)

Other IOT “plug-and-play” devices

Future Capabilities

Lidar triggering

Tablet controlled GPS surveying solution for placement of markers

Robotics control within API

Other infrastructure equipment, sensors, and controllable devices

Safe Test

The Safe AI Framework for Trustworthy Edge Scenario Tests (SAFE TEST) aims to radically improve the efficiency of AV performance testing by creating more incidents per mile while eliminating expensive test equipment and variances in repeatability of scenarios. This is achieved by combining real-world testing customized for the American Center for Mobility Smart Mobility Test Center with two pieces of innovative technologies developed by University of Michigan's Center for Connected and Automated Transportation (CCAT) including:

The Augmented Reality Test Environment which allows for virtual background traffic, road obstacles and weather challenges to be added to the testing environment that the brain of the test vehicle sees as real”. The simulated vehicles are easily controlled so specific test scenarios can be repeated perfectly each time.

The Naturalistic and Adversarial Driving Environment (NADE) tests for long-tail events” which are rare situations such as a vehicle merging in front of another vehicle or hard braking. The NADE inserts background vehicles that conduct these adversarial and rare maneuvers at a much higher rate. Simultaneously, the environment uses naturalistic driving data from the to ensure unbiasedness.

By combining these two cutting-edge technologies, SAFE TEST is able to increase the efficiency of AV performance testing, reduce operational costs, and accelerate product validation. As part of CCAT's 2021 research, Dr. Liu was awarded funding to implement the SAFE TEST at ACM.