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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

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

Yunex Traffic

Founded

2021

Country

Germany

Website

www.yunextraffic.com/global/en/portfolio/traffic-management

Product Features

Product Features

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