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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
Advanced traffic management systems facilitate the assurance of mobility, both presently and in the future, while effectively addressing the challenges posed by increasing traffic volumes and their environmental consequences. By integrating various systems and data sources, it's possible to enhance traffic flow significantly. Implementing these intelligent systems fosters the development of sustainable urban areas and promotes efficient mobility solutions. Moreover, intelligent traffic management contributes to improved traffic conditions not only within cities but also in the surrounding regions, preparing them for the upcoming mobility transformations. In order for urban and regional areas to maintain or restore their attractiveness sustainably, they must confront the issues of traffic and its effects on individuals and the environment. Effective approaches should encompass not only a shift to alternative transportation methods but also the smart management of road traffic. Historical evidence indicates that merely responding to traffic disruptions after they occur is insufficient; instead, proactive planning is crucial for maximizing the traffic network's capacity. This strategic foresight ensures that cities can thrive as they adapt to ever-evolving mobility demands.
API Access
Has API
API Access
Has API
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
Yunex Traffic
Founded
2021
Country
Germany
Website
www.yunextraffic.com/global/en/portfolio/traffic-management