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Kirklees, United Kingdom
11-50 Employees
2020
TrafficLenz is a AI powered secured cloud predicated data gateway. Trafficlenz acts as a bridge, providing expeditious and secure data transfer in multiple languages. Its coalescence of software and hardware solution that connects to multiple data sources, and provides a single and central point of access to connect to every client. Backed by professionals with over 15 years of experience in the industry, we have reliable and time-tested processes to ensure you don't have to worry about your data. All the data collected on the app gets synced automatically to TrafficLenz and you can analyse it here.
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TrafficLenz - The Traffic Data Gateway
... The traffic data gateway for the digital age. ...
London, United Kingdom
11-50 Employees
2017
We are proud to be in portfolios of top European investors. GoodVision provides automation tools in all stages of traffic projects, from AI traffic data collection to traffic modelling and real-time traffic control. To us, GoodVision Video Insights is by far the most advanced solution offered on the market. The ability to offer the added value in the form of visual representations as well as reducing data turnaround times with automated analysis via GoodVision, has been of a substantial benefit to our clients. We're achieving 99% accuracy with your platform, which assured us that this is the right way. Goodvision provides a fast and reliable way to process data, that enable us to comprehend and interpret various mobility flows.
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AI-based traffic data collection from video
... Become the fastest traffic data supplier for your customers. ...
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Reliable & Accurate Traffic Data Solutions
... Our team consists of highly skilled professionals in the traffic data collection field. Our experience, along with our staffs' high level of motivation and drive for excellence, is what has maintained our reputation as a leader in our field. ...
New York, United States
11-50 Employees
There are 360,000 signalized intersections across the US that are operated by more than 15,000 city, county and state traffic agencies. We also provide traffic engineers with performance measurement software to monitor and properly retime traffic signals.
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LTD was founded in 2014 with the goal of becoming the leading provider of traffic infrastructure data in North America and abroad.
... LTD was founded in 2014 with the goal of becoming the leading provider of traffic infrastructure data in North America and abroad. ...
Bengaluru, India
11-50 Employees
2013
We are sensitive to the challenges and issues associated with each client. We are one of the most trusted traffic survey companies in India. We are a team of experienced professionals committed to providing our customers with quality Traffic Data Analysis services based on over 10 years of accumulated experience and state-of-the-art technical infrastructure. We are a global service provider for Manual Traffic Data Extraction from Video. Our services are made available at more affordable prices compared to any other traffic survey solution provider. We are a global service provider for Traffic Data Extraction from Video. We are an offshore preferred partner for Traffic Video Reduction Services for Transportation Data Collection Companies, Transport Planners, Consultants, Councils and other Transportation Authorities worldwide! We are the largest employer in this business across the globe.
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INFLUX ARTIFICIAL TRAFFIC DATA
... INFLUX ARTIFICIAL TRAFFIC DATA ...
New York, United States
1-10 Employees
2017
Their offering is unique - it brings a whole new level of intelligence to the space that we’ve never seen before, allowing key stakeholders to make informed and quick decisions.”. And if you’re not incorporating A Retail Space’s offering with your future property decisions, you’re dead in the water. Their solution is a must for any broker or retailer.”.
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Retail Real Estate Foot Traffic Data and Comparison
... Retail Real Estate Foot Traffic Data and ...
1-10 Employees
2016
Ticon covers all roads and roadways in US and in 50+ countries worldwide. Ticon traffic data and car counts collected 24/365 and is available going back for up to 12 years. Ticon is a world pioneer in providing precise traffic data for exact geographic location – up to single street address, surpassing traditional TMC segments for refined location-based insights. Ticon delivers highly detailed reports containing all relevant traffic data in a convenient, easy-to-read format. Unlike many others, Ticon delivers true traffic volume numbers, not ‘probe sizes’, for exact location, not ‘nearby street’ or ‘TMC segment average’.Ticon reports are based on in-depth knowledge of traffic engineering and on expert consideration of the specificity of our consumers’ industries, which ensures fullconfidence in the optimal solution. Ticon platform gathers initial data from a variety of sources. C-Site Insight, a Business Site Traffic Analysis and Reporting system, provides smart decision support for retail site selection. TrafficZoom, our innovative tool for Smart Cities, delivers static and dynamic multi-dimensional traffic maps, where the Traffic Volume of every segment is represented by its width and Speed - by color.
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TICON | Products
... Explore our range of cutting-edge traffic data analytics products for retail businesses. Browse our products now and take your business to the next level. ...
Gdynia, Poland
251-500 Employees
We developed next generation cognitive approach to cybersecurity. Pandora Cognitive Cybersecurity was founded to pioneer in applying artificial intelligence, algorithmic science and machine learning to cybersecurity issues that result from exponential growth of IoT. PCE has built in Camille - AI and ML Module to assure immediate detection of suspicious data traffic based on behavioral analysis. With the use of PCE cybersecurity experts and forensics receive a powerful tool to identify and react to any hackers attempt. Pandora Autonomous Data Traffic Analyzer is a standalone system designed for monitoring mobile traffic to detect malicious sessions, data leakage or just malfunction of end devices and services. Pandora Anomaly Intelligence Cockpits are designed to provide cybersecurity engineers with fully flexible GUI that allows to select only most interesting views on device status, threat and response, network statistics and other categories. Artificial Intelligence and Machine Learning Module was built into the system overall architecture to learn customer specific cybersecurity landscape. We believe that our revolutionary approach to cybersecurity speaks for itself.
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Pandora Autonomous Data Traffic Analyzer
... Pandora Autonomous Data Traffic ...
Eastleigh, United Kingdom
1-10 Employees
2019
Matrix is a multi-national transport data company, with offices in Europe, the Pacific and Asia. Matrix UK provide’s services to major consultants, local authorities, national and country parks, retail sites & waste recycling centres; most of these are current, permanent contracts. A growing sector is the requirement for a speed survey to be undertaken along side a local planning application, be it in its simplest form of a 85%ile speed report to the more complex junction analysis. We offer free consultations to walk you through your needs, the scope of your work, and your budget.
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Matrix Traffic and Transport Data Services
... Our 3 main data collection services, including Video traffic data collection, manual traffic data collection and Automatic Traffic Counters (road tubes). Matrix deliver quality traffic data at a ...
Old Toronto, Canada
1-10 Employees
2012
Spectrum is dedicated to a minimum 95% accuracy for all of our street level traffic data.
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Spectrum Traffic Data Exchange
... Spectrum Traffic - Data Collection ...
Technologies which have been searched by others and may be interesting for you:
Some interesting numbers and facts about the results you have just received for Traffic Data
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 330 |
| Amount of suitable service providers | 277 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1999 |
| Youngest suiting company | 2020 |
Traffic data refers to the collection, analysis, and interpretation of information about the movement of vehicles, goods, or people within a specified area or network over a given period. This data encompasses a wide range of variables, including but not limited to, vehicle counts, speeds, types, directions of travel, as well as congestion levels and travel times. The collection methods for this information vary significantly, leveraging technologies such as road sensors, GPS devices, traffic cameras, and manual counting to gather accurate and relevant data. In its respective field, traffic data plays a pivotal role in informing infrastructure development, traffic management strategies, and policy-making decisions. It enables urban planners, transportation engineers, and government officials to understand current trends and patterns in travel behavior, identify bottlenecks or areas of high congestion, and devise effective solutions to enhance road safety, reduce travel times, and improve overall traffic flow. Moreover, by analyzing this data, authorities can make informed decisions on the allocation of resources for road maintenance and improvements, as well as the planning and implementation of public transport systems, ultimately facilitating a more efficient and sustainable urban mobility framework.
1. Improved Decision Making
Utilizing traffic data allows for more informed decision-making by identifying patterns and trends in traffic flow. This insight can guide infrastructure development, traffic management strategies, and policy formulation to enhance road safety and efficiency.
2. Enhanced Traffic Flow
By analyzing traffic data, authorities can optimize signal timings, reduce congestion, and improve overall traffic flow. This leads to shorter travel times, less fuel consumption, and a reduction in carbon emissions, contributing to a more sustainable environment.
3. Real-time Response to Incidents
Traffic data enables real-time monitoring and response to road incidents. This immediate action can significantly reduce the impact of accidents, road closures, and other disruptions, ensuring smoother and safer travel for all road users.
4. Cost Savings
Investing in traffic data collection and analysis can lead to significant cost savings over time. By optimizing traffic flow and reducing congestion, cities can lower the need for expensive road expansions and maintenance, directing funds towards other critical infrastructure projects.
While evaluating the different suppliers make sure to check the following criteria:
1. Accuracy of Data
Ensure the supplier uses advanced technology and methodologies to provide highly accurate traffic data, including vehicle counts, speeds, and types.
2. Coverage Area
The supplier should offer comprehensive coverage that meets your specific needs, whether it's local, regional, or global traffic data.
3. Data Freshness
Check how often the traffic data is updated. Frequent updates are crucial for applications requiring real-time data or the latest traffic trends.
4. Customization Options
Look for suppliers who can tailor their data offerings to fit your specific requirements, whether it's for analysis, planning, or real-time traffic management.
5. Support and Service
Evaluate the level of customer support provided, including technical assistance, data integration support, and any training materials available.
6. Cost-Effectiveness
Consider the pricing models and ensure they align with your budget and the value you anticipate from the traffic data.
Traffic data proves indispensable for enhancing supply chain efficiency in the logistics and transportation sector. Companies leverage real-time traffic information to optimize route planning, reducing delivery times and minimizing fuel consumption. This data-driven approach ensures that businesses can adjust their operations dynamically, responding to unexpected delays or congestion, thus improving overall operational efficiency and customer satisfaction. In the retail industry, traffic data informs strategic decision-making regarding store locations and marketing strategies. Retailers analyze pedestrian and vehicle traffic patterns to identify high-traffic areas suitable for new stores or marketing campaigns. This utilization of traffic data helps in maximizing footfall and, by extension, sales potential, enabling businesses to tailor their offerings to meet local demand more effectively. Urban planning and development also benefit significantly from traffic data. City planners and developers use this information to design more efficient public transport systems and road networks. By understanding traffic flow patterns, they can identify bottlenecks and areas requiring infrastructure improvements, leading to better traffic management solutions that accommodate growing urban populations. This use case underlines the importance of traffic data in creating sustainable, smart cities that prioritize efficient mobility and quality of life for their inhabitants.
Traffic data technology currently stands at a high Technology Readiness Level (TRL), typically between levels 7 to 9, indicating that it has been fully developed and is now being refined in operational environments. This advanced TRL status is primarily due to the significant technical advancements in data collection methods, including the integration of IoT sensors, GPS tracking, and sophisticated analytics software. These technologies enable real-time monitoring and data gathering on traffic flow, density, and patterns with unprecedented accuracy and detail. Furthermore, the adoption of machine learning algorithms has significantly enhanced the predictive capabilities of traffic management systems, allowing for more effective congestion mitigation and route optimization strategies. The transition to these high TRLs has been facilitated by the widespread availability of high-speed internet and the increasing penetration of smart devices, which together provide the necessary infrastructure for collecting and processing large volumes of traffic data. Additionally, the collaborative efforts between public and private sectors in developing and implementing smart traffic solutions have played a crucial role in advancing the TRL of traffic data technology. This level of readiness reflects a mature field where technical challenges are now focused on incremental improvements and scalability rather than foundational breakthroughs.
In the Short-Term, advancements in traffic data technology will primarily focus on enhancing real-time data collection and analysis. Integration of IoT devices with current traffic management systems is expected to improve accuracy in traffic condition reports, congestion prediction, and emergency response times. This phase will see a proliferation of sensors and AI-driven analytics platforms that can process vast amounts of data swiftly, providing immediate insights for better traffic flow and safety measures. The Mid-Term phase will witness the maturation of autonomous vehicle technologies, significantly impacting traffic data utilization. As these vehicles become more integrated into mainstream traffic, the data generated from their operations will offer unprecedented insights into traffic patterns, road conditions, and driver behavior. This period will also see the emergence of vehicle-to-everything (V2X) communication technologies, facilitating a more interconnected and efficient traffic system by enabling real-time data exchange between vehicles, infrastructure, and pedestrians. In the Long-Term, the focus will shift towards predictive analytics and the widespread adoption of smart city concepts. Traffic management systems will evolve to not only analyze current data but also predict future traffic trends using machine learning algorithms. This capability will enable proactive management of traffic flow, reducing congestion and enhancing road safety. Furthermore, the integration of renewable energy sources and eco-friendly technologies in traffic systems will contribute to sustainable urban development, aligning traffic management practices with environmental conservation efforts.
