
All Traffic Data
Servicing all your traffic data needs.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor | €0.0 | round |
N/A | €0.0 | round | |
* | $19.0m Valuation: $19.0m 2.0x EV/Revenue | Acquisition | |
Total Funding | 000k |

USD | 2023 |
---|---|
Revenues | 0000 |
EBITDA | 0000 |
Profit | 0000 |
EV | 0000 |
EV / revenue | 00.0x |
EV / EBITDA | 00.0x |
R&D budget | 0000 |
Source: Company filings or news article
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Established in 2001 by Eric and Dawn Boivin, All Traffic Data Services, Inc. provides comprehensive traffic data collection and analysis services. The company was founded with the vision of delivering high-quality, reliable traffic data to support transportation planning and engineering projects. Eric Boivin's journey began with his experience as a Traffic Engineering Technician, where he identified a need for more accurate and efficient data collection methods.
All Traffic Data serves a diverse client base that includes government agencies, civil engineering firms, and transportation planning consultants across the United States. The firm operates within the transportation engineering and data services market, generating revenue by offering a suite of specialized services on a project basis. Its core business involves gathering critical information about traffic patterns, including vehicle volume, speed, classification, turning movements, and pedestrian/bicycle counts.
The company's service portfolio is built around the deployment of various data collection technologies, such as pneumatic road tubes, video cameras, and radar devices. A key offering is their turning movement count service, which provides detailed intersection data essential for signal timing and roadway design. They also conduct studies on travel times, origin-destination patterns, and parking utilization. This data empowers clients to make informed decisions regarding infrastructure development, traffic management, and safety improvements. The company differentiates itself through its commitment to data accuracy and the ability to handle large-scale, multi-location data collection projects efficiently.
Keywords: traffic data collection, transportation engineering, data analysis, traffic studies, turning movement counts, vehicle classification, pedestrian counts, transportation planning, civil engineering, parking studies