Our solutions are designed to meet the challenges posed by your line of business.
USE CASES:
DatForTraffic. Web platform for exploring and downloading traffic counts. Analysis of the average number of vehicles traveling per day on a section of street or highway through a database of existing counts from official sources and our own measurements.
Application to traffic studies and transport planning, comparison between different routes for location selection, analysis for the suitability of new businesses, etc. Web platform for exploring and downloading traffic counts. Analysis of the average number of vehicles traveling per day on a section of street or highway using a database of existing counts from official sources and our own measurements.
Application to traffic studies and transport planning, comparison between different routes for location selection, analysis for the suitability of new businesses, etc.
KEY METRICS:
- Average Daily Traffic (ADT).
- Depending on the source: hourly traffic volumes, traffic volumes by month of the year, distribution by direction, vehicle classification, etc.
USE CASES:
Real-time traffic monitoring during linear roadworks, traffic management for detour plans, real-time vehicle monitoring for roadworks control and more.
KEY METRICS:
- Real time: Congestion levels, Queue lengths, Level of Service (LOS), Speeds, Delay times, Turning movement analysis and others.
USE CASES:
Location selection and site assessment, Understanding customer mobility, Competitor traffic flow analysis, others.
KEY METRICS:
- Average Daily Traffic (ADT), Peak hours and high-traffic days and more metrics. Vehicle, pedestrian, and bicycle counts.
- Origin–destination analysis: where customers come from, when, etc.
- Analyze which routes users take to reach our location or that of our competitors.
- Other metrics.
USE CASES:
Traffic studies, demand studies, corridor analysis, origin-destination analysis in areas or routes, turn analysis, data for transportation models (supply and demand), historical traffic characteristics, and much more. Historical and real-time data.
KEY METRICS:
- Average Daily Traffic (ADT). Vehicle, pedestrian, and bicycle counts.
- Origin-destination analysis of trips in areas or road sections.
- Routes used by drivers.
- Distribution of speeds and travel times on highways.
- Turn analysis: percentage of movements at intersections, crossings, roundabouts, access points, etc.
- Other historical or real-time data metrics.
USE CASES:
Location and planning of the Electric Vehicle (EV) charging point network, Deployment of new modes – micromobility, Traffic and mobility data for Smart Cities
KEY METRICS:
- Average Daily Traffic (ADT). Vehicle, pedestrian, and bicycle traffic counts.
- Area-wide traffic intensity analysis.
- Existing EV charging infrastructure.
- EV usage potential per 'grid' within the study area.
- Origin–destination mobility patterns.
- Routes used by drivers.
- Real-time traffic data.
- Other historical or real-time data metrics.
USE CASES:
Location Intelligence platforms, geomarketing solutions, route optimization, mobility data–driven predictive solutions, and more.
KEY METRICS:
- Average Daily Traffic (ADT). Vehicle, trucks, pedestrian, and bicycle traffic counts
- Traffic data and travel patterns.
- Origins and destinations of trips.
- Real-time traffic data.
- Congestion and incidents.
- Historical traffic data at specific times (before and after events, road closures, transportation policies, etc.).
- Many other historical and real-time mobility metrics.
At Datfor, we tailor our approach to meet the needs of each market. That’s why we offer solutions designed to work across various sectors. If you don’t see one that fits your requirements, feel free to reach out, and together we’ll create a proposal that’s fully customised to your specific needs
