Aggregate, also known as crowdsourced, vehicle data provides excellent traffic data for many innovative use cases. Many consumers of traffic data prefer data from connected vehicles to other data sources because the data is not restricted to stationary sensors, and it contains many rich attributes.
One of the benefits of vehicle data is the ability to get a cohesive sense of the trips that vehicles make, as opposed to simple traffic counts at designated spots. However, getting data on vehicle trips from raw, crowdsourced car data can be labor intensive, meaning organizations are spending significant time on making calculations and harmonizing data. The Otonomo Platform delivers harmonized vehicle Trips Data using a unique algorithm. This means that data consumers can spend less time manipulating raw data and more time innovating.
What data attributes make up Trips Data?
Trips data is made up of several data attributes, including average speed, maximum and minimum speed, miles traveled, fuel consumption, battery usage, and more.
What is Trips Data?
Trips data is the crowdsourced traffic data of trips made by vehicles, from origin to destination. Extrapolating aggregated vehicle trips from floating car data (FCD), which offers a timestamped longitude and latitude coordinate, can be difficult, since data from vehicles needs to be harmonized and processed.
Trip Data offers several data attributes in addition to location. Some fundamentals include average speed, maximum and minimum speed, miles traveled, fuel consumption, battery usage, and more.
Trips data offers the ability to consume data not just based on data points and time stamps, it also provides the packaged information of aggregated vehicle journeys needed for insights.
How is Trips Data Used?
Trips Data contextualizes traffic data by showing the big picture – where vehicles are coming from and going to, and what happens along the way. This information can enhance insights for traffic data analysts in several use cases.
Urban and Transportation Planning: Trips Data and trip-points data is an effective way to show common origin and destinations. Trip-points data, specifically, can be used to reveal popular routes. This information is valuable when planning new roads, developments, or mass transit.
Smart Mobility: Smart cities can use historical trips data to understand common traffic patterns to anticipate future traffic conditions and adjust dynamic signage. Routing and navigation apps can analyze typical routes and highly trafficked corridors so as to better guide their users.
Fuel and Road Usage: Municipalities and governments can use vehicle Trips Data to easily find vehicle miles traveled (VMT) so as to monitor road usage and anticipate fuel consumption and fuel tax revenue. Due to the influx of electric and fuel efficient vehicles, more governments are seeking to shift from funding infrastructure with fuel taxes in favor of usage taxes. Insights obtained from trips data can enable such taxation policies.
Location Intelligence: Businesses can gather location intelligence by identifying points of interest and popular routes to plan retail locations, real estate development, and fuel or charging stations.
Economic trend data: Economists and financial institutions can use Trips Data to analyze migration patterns and economic activity to study economic trends and make predictions. Analysts can derive insights about customer traffic to and from shopping centers and businesses to help them evaluate performance and demand.
Want to learn more about Otonomo’s Trip Data?
Otonomo offers rich Trips Data crowdsourced from millions of vehicles. Our aggregated traffic data is contextualized and privacy compliant, and includes dozens of attributes from vehicle sensors for nuanced insights.