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What is SynchroGreen?

The SynchroGreen® adaptive traffic control system optimizes signal timings for major routes, side streets, and pedestrians through its capacity for real-time adjustments. Created by Trafficware, this reliable solution is designed to reduce travel times, delays, and stops for vehicles. By making the most of the current roadway capacity, SynchroGreen also aids in decreasing fuel consumption and minimizing idle times, which in turn helps lower emissions. This cutting-edge system was carefully developed by Trafficware in partnership with Naztec, both of which have significant experience in the traffic management sector. Globally, traffic engineers rely on Trafficware’s Synchro Studio for effective traffic simulation and optimization strategies. Furthermore, the Naztec ATMS.now central management software is utilized by 200 cities in the U.S., managing thousands of intersections effectively. This extensive pool of knowledge and experience provides a robust framework for addressing the challenges of optimizing traffic signal operations, promoting smoother traffic flow and enhanced safety for all users. As cities continue to expand, the demand for such innovative traffic management solutions is becoming increasingly urgent. The integration of these technologies is vital for adapting to the growing complexities of urban mobility.

What is Siemens SCOOT?

SCOOT functions as a sophisticated proactive system that adjusts traffic signal timings in real-time to better facilitate vehicles as they near intersections. Unlike other systems that depend on data collected from traffic leaving the intersection, which often results in timing changes that are implemented after the fact, SCOOT uses an online traffic simulation model to assess various timing options in real-time and chooses the most effective one. Many alternative systems are limited to making adjustments based on predefined parameter thresholds, such as traffic volume or the quantity of arrivals during green lights, which restricts their ability to explore multiple timing strategies without prior effectiveness testing. In contrast, SCOOT continuously fine-tunes cycle lengths, splits, and offsets with each signal cycle, making small, controlled adjustments that enhance traffic flow. On the flip side, numerous other systems tend to implement larger changes less frequently, sometimes every ten minutes, and some do not even focus on optimizing cycle lengths at all. This lack of agility makes these traditional systems far less capable of adapting to the swiftly changing nature of traffic conditions. As a result, SCOOT proves to be especially beneficial in urban areas where traffic patterns can shift dramatically and unpredictably. Its ability to make real-time adjustments helps to reduce congestion and improve overall traffic efficiency, making it a vital tool for modern urban traffic management.

Media

Media

Integrations Supported

Trafficware ATMS

Integrations Supported

Trafficware ATMS

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Cubic | Trafficware

Date Founded

1978

Company Location

United States

Company Website

www.trafficware.com/synchrogreen.html

Company Facts

Organization Name

Siemens

Date Founded

1989

Company Location

Germany

Company Website

www.mobility.siemens.com/us/en/portfolio/road/traffic-management/scoot-adaptive-traffic-control.html

Categories and Features

Categories and Features

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