Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
SCOOT operates as an advanced proactive system that modifies traffic signal settings in real-time to accommodate vehicles approaching intersections. In contrast, alternative systems rely on data from departing traffic, which results in timing changes that are often implemented too late to achieve optimal effectiveness. At the core of SCOOT lies an online traffic simulation model that evaluates a variety of potential timing adjustments in real-time, selecting the most efficient option. Other systems typically make modifications based on set parameter thresholds, such as traffic volumes or the number of arrivals on green, which restricts them to a single potential adjustment without prior effectiveness testing. SCOOT, on the other hand, consistently optimizes cycle length, splits, and offsets with each cycle by executing small, controlled modifications. Many alternative systems opt for larger adjustments on a much longer schedule, sometimes up to every 10 minutes, and some do not even optimize cycle length at all. Consequently, these other systems are significantly less adept at responding to the rapidly fluctuating conditions of traffic. This responsiveness makes SCOOT particularly advantageous in urban environments with dynamic traffic patterns.
Description
Traffic Management is inherently a challenging endeavor, yet the increasing evolution of transportation methods adds another layer of complexity. As demographics shift and technology advances, novel ways to traverse our roadways are continuously developed and improved. The rise of shared mobility options diminishes the reliance on personal vehicles and reduces the demand for parking spaces. With the growing prevalence of electric vehicles, buses, and bicycles, there is an urgent need for appropriate infrastructure to accommodate these changes. While these innovative transport modes and technologies facilitate cleaner and safer travel, they also shift the emphasis from traditional automobiles. Consequently, Traffic Management must adapt to this dynamic environment, striving to foster transportation that is safe, environmentally friendly, cost-effective, and efficient. At TRL Software, we equip organizations with the tools to enhance current travel experiences while also paving the way for a more intelligent and sustainable mobility landscape in the future. This commitment not only addresses present needs but also anticipates the demands of tomorrow's transportation systems.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Siemens
Founded
1989
Country
Germany
Website
www.mobility.siemens.com/us/en/portfolio/road/traffic-management/scoot-adaptive-traffic-control.html
Vendor Details
Company Name
TRL Software
Founded
1933
Country
United Kingdom
Website
trlsoftware.com/products/traffic-control/urban-traffic-control/