Collier County uses SMATS iNode™ Data Analytics Platform to Manage their Seasonal Traffic Congestion
Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- SMATS iNode™
Tech Stack
- Crowdsourced Data
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Customer Satisfaction
- Digital Expertise
Technology Category
- Analytics & Modeling - Real Time Analytics
- Application Infrastructure & Middleware - Data Visualization
- Functional Applications - Remote Monitoring & Control Systems
Applicable Industries
- Cities & Municipalities
- Transportation
Applicable Functions
- Facility Management
- Business Operation
Use Cases
- Traffic Monitoring
- Remote Asset Management
- Real-Time Location System (RTLS)
Services
- System Integration
- Data Science Services
About The Customer
Collier County’s Traffic Operations Section monitors and maintains the County’s roadways to promote the safety and efficiency of the transportation system for its citizens and visitors. Collier County Traffic Operations consists of six sections, including InHouse Design Group, Roadway Lighting, Roadway Signing and Marking, Traffic Facilities Locates, Traffic Management Center (TMC), and Traffic Signals. All these sections work closely together to provide the best and most efficient roads for the County.
The Challenge
Collier County Traffic Operation has the mission of providing the best and most efficient road network for its citizens. Located in southwest Florida, the Collier County experiences high fluctuation of seasonal traffic, it was crucial to collect up-to-date congestion data for the main road segments to prioritize those in need of immediate improvement with low Level of Service. In order to fulfill this goal, the Traffic Operation Section needs to measure travel time to determine roadway capacity, congestion areas, congestion time, and its duration. Also, travel time data can be used to evaluate traffic signal timing to assure high performance of the roads; however, collecting and analyzing travel time data at the county-level is both labor-intensive and time-consuming.\n\nBefore adopting SMATS’ iNode™, the County traffic officials had to drive the desired segments multiple times at different times of the day to collect the required travel time data. This way of collecting data makes it impossible to study longer segments across the County and monitor the roads 24/7. Therefore, Collier County Traffic Operation decided to automate this process to help its staff and collect travel time data more efficiently.
The Solution
Collier County Traffic Operation chose SMATS Traffic Solutions’ data analytics platform, iNode™, with integrated crowdsourced traffic data to easily monitor and analyze travel time in real-time. iNode™ allows the County traffic officials to capture travel time and speed data of the desired roads without installing or maintaining any hardware. Also, iNode™ can capture travel time based on the given time schedule.\n\nSince September 2019, the Collier County Traffic Operations Section has been using iNode™. To date, the County has established more than 220 data collection links (or segments) with iNode™ to monitor and analyze travel time data online based on their needs. The level of congestion of all the links can be monitored from the dashboard both online and offline. Each color represents a congestion level from most congested (dark red) to normal (green).
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Turning A Stadium Into A Smart Building
Honeywell created what it called the “intelligent system” for the National Stadium in Beijing, China, turning the venue for the opening and closing events at the 2008 Summer Olympics into a “smart building.” Designed by highly controversial artist Ai Weiwei, the “Bird’s Nest” remains one of the most impressive feats of stadium architecture in the world. The 250,000 square meter structure housed more than 100,000 athletes and spectators at a time. To accommodate such capacity, China turned to Honeywell’s EBI Integrated Building Management System to create an integrated “intelligent system” for improved building security, safety and energy efficiency.
.png)
Case Study
Smart Street Light Network (Copenhagen)
Key stakeholders are taking a comprehensive approach to rethinking smart city innovation. City leaders have collaborated through partnerships involving government, research institutions and solution providers. The Copenhagen Solutions Lab is one of the leading organizations at the forefront of this movement. By bringing together manufacturers with municipal buyers, the Copenhagen Solutions Lab has catalyzed the development and deployment of next-generation smart city innovations. Copenhagen is leveraging this unique approach to accelerate the implementation of smart city solutions. One of the primary focus areas is LED street lighting.
Case Study
Airport SCADA Systems Improve Service Levels
Modern airports are one of the busiest environments on Earth and rely on process automation equipment to ensure service operators achieve their KPIs. Increasingly airport SCADA systems are being used to control all aspects of the operation and associated facilities. This is because unplanned system downtime can cost dearly, both in terms of reduced revenues and the associated loss of customer satisfaction due to inevitable travel inconvenience and disruption.
Case Study
IoT-based Fleet Intelligence Innovation
Speed to market is precious for DRVR, a rapidly growing start-up company. With a business model dependent on reliable mobile data, managers were spending their lives trying to negotiate data roaming deals with mobile network operators in different countries. And, even then, service quality was a constant concern.
Case Study
Buoy Status Monitoring with LoRa
The Netherlands are well-known for their inland waterways, canals, sluices and of course port activities. The Dutch Ministry of Infrastructure indicates that there are thousands of buoys and fixed items in and near water environments that would profit from IoT monitoring. One of the problems with buoys for example, is that they get hit by ships and the anchor cable breaks. Without connectivity, it takes quite some time to find out that something has happened with that buoy. Not to mention the costs of renting a boat to go to the buoy to fix it. Another important issue, is that there is no real-time monitoring of the buoys at this moment. Only by physically visiting the object on the water, one gains insight in its status.
