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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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

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/

Product Features

Product Features

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