MLK SMART CORRIDOR: TESTBED-AS-A-SERVICE WHO WE ARE CUIP (Center for Urban Informatics and Progress) is an interdisciplinary research center at the University of Tennessee at Chattanooga. Our work is focused on developing methods and research initiatives that proactively build smarter, healthier, and safer urban environments for all. A key pillar of our research is the MLK Smart Corridor testbed. The corridor provides a real-world environment for the development, testing and validation of smart city and autonomous vehicle research.
OUR TESTBED The MLK Smart Corridor was deployed in 2019 to accelerate smart city and connected and autonomous vehicle research. The Corridor sits in the urban core of Chattanooga, Tennessee, spanning 1.2 miles. It consists of 11 signalized intersections that are outfitted with a wide variety of technologies, listed below, that users can utilize. From communications, networking, IoT, and more, all aspects of Smart Cities research was taken into consideration to ensure users can easily deploy new projects at low costs. Edge computing, communications, cameras, audio devices, and air quality sensors are currently deployed and accessible by users.
TESTBED SPECIFICATIONS IoT
• Camera • Air quality sensor • Microphone • Radar • LiDAR
Edge computing
• Nvidia Jetson TX2 • Rasberry Pi
Networking
• SDR • WiFi APs • DSRC • CV2X • LORA • Fiber
Examples of User Services
• IoT Connectivity • Video Analytics • Signal Phasing & Timing (SPaT) • Data Infrastructure • Spectrum Sensing • Air Quality Monitoring • Connected Vehicles • Audio Event Detection
FOR MORE INFORMATION PLEASE CONTACT Austin Harris, Testbed Manager (423) 304-3724 Austin-P-Harris@utc.edu or visit our website at UTC.EDU/CUIP
Camera Audio
OBU
Air Quality Sensor LoRaWAN
Wi-Fi DSRC
Microphone Edge Computing
Traffic Controller
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YOUR PROJECT The MLK Smart Corridor was built for collaboration. Our goal is to make it easy for contributors to access parts of our data, deploy their sensors remotely, and receive real-time feedback via our integration platform. All communications, IoT and computer hardware deployed on the corridor are available to users. The design was intended to make integration of new users and projects as simple as possible in order to lower the barrier of entry into large scale projects at city scale. • Remotely accessible • APIs for real-time data analysis • Collect data from urban environment
• Data integration system • Sensor and data health monitoring • Automated data storage
A data integration platform was developed to provide users with an interoperable platform for data collection. An application programming interface (API) exposes the low-latency and highthroughput ingestion system. The API allows users to easily integrate their devices and collect data from distributed data sources along the corridor in real-time.
SELF-SERVICE-PORTAL The self-service portal allows users to visualize, monitor and export their real- time data from the testbed. The portal also allows users to submit resource, application or sensor deployment and data access requests.