Urban planning services
Users can select the best transportation from “A” to “B” based on predetermined targets of time, convenience, pricing, ecological footprint, etc.
The public transportation authority can automatically change bus routes, time intervals and fees depending on current demand.
The ecological footprint of urban mobility can be predicted based on current and historical mobility data, combined with weather predictions and vehicle characteristics.
Real-time aggregated vehicle mobility data combined with street cameras, weather data and public roadwork information can generate a predictive model to better operate traffic lights.
Connected vehicles and people generate aggregated data that predicts unauthorized concentrations in restricted areas.
With information about location and start-stop engine events from connected vehicles, information maps can be enhanced to include areas with the highest probability of finding on-street and off-street parking.
Infrastructure & utilities data
Sensor data from connected vehicles and harsh maneuvers from drivers can give accurate locations of potholes and black spots.
Embedded or aftermarket vehicle communication devices can measure, report and even select the best network quality in a given location.
Road infrastructure companies can get more out of their toll businesses by implementing dynamic pricing, based on aggregate traffic and priority lanes.
Consumer retail and real estate insights
The quality of living in a given neighborhood can be assessed by taking into account static data from inhabitants, their vehicles and dynamic mobility data.
Advertising agencies and their clients can assess the effectiveness of a roadside announcement by analyzing the behavior of drivers entering the ad’s visual area.
Retail companies can understand potential customers’ behavior in the vicinity of a shopping area and contact them via app, SMS or email if certain conditions are met.
Value-added services for corporations
As fleet manager, make well-informed decisions about vehicle deployment and life cycle based on vehicle usage and status data.
With information about historical and mobility trends, data sources on scheduled events, etc., taxi fleets and shared vehicles managers can decide the best areas to place vehicles.
Companies can improve employee wellbeing and productivity by helping plan journeys based on traffic, commuting needs, personal vs. professional agenda, etc.
Companies with employees on the road can facilitate journeys based on people, traffic, roadwork and vehicle mobility data.
The usage of private cars for professional tasks can be incorporated into a more efficient tax declaration, and employee fraud can be avoided by enabling automatic mileage reports.
Companies can promote a more healthy and responsible workforce by scoring employees on the basis of good mobility habits.
Location and tracking
In open working spaces like construction sites, mining exploitation, etc., tracking and control of the right usage of vehicles and tools by the right worker is important.
In situations where people need to be permanently locatable: safety, health condition, law enforcement, etc. Events can be triggered when certain conditions are met.
When valuable goods are on the move, it’s important to track location and conditions (temperature, humidity, etc.). Using historical and contextual data can help make real-time decisions about the right travel route.
Vehicle sales cycle
A connected vehicle, along with information about the owner, can generate significant insights about lifestyle and help dealerships and automotive brands recommend the most appropriate vehicle for renewal.
Combined usage data and vehicle status information is the best unbiased predictor for the value of a connected vehicle during its lifetime.
Connected vehicles can be effectively managed at the dealer’s lot when information about location, test drives, out-of-office usage and engine status is joined.
Aggregated information about mobility trends and the status of different models and brands can be easily assessed with the data consolidation of different OEMs and aftermarket players, such as telcos, finance companies, etc.
Value-added services for car owners
Historic mobility data along with information about the vehicle and engine status are good predictors of potential issues for preemptive maintenance, giving car owners peace of mind.
Voluntary and compulsory maintenance can be overseen by car owners. The aggregation of manufacturer data with mobility data and engine status can optimize scheduling and save on auto parts replacement.
Based on mobility data trends for both ICE and EV vehicles, optimal locations for fuel and EV charging stations can be determined. Drives can be advised on the next best station on the basis of route and fuel/battery status.
Additional safety for drivers
Access to real-time information about location and driving style for different family members.
Embedded data sensors and additional accessories can identify the early warning signs of distracted driving and interact with vehicle systems or remote assistance services.
The combination of data from specific motion sensors in a vehicle with airbag activation or aftermarket devices can automatically detect a crash, filter events and automatically call specialized emergency assistance.
Mobility data and engine status can be tracked and used by roadside assistance companies to plan resources and provide better service for drivers.
Data directly extracted from vehicle systems, combined with environmental and mobility data, are the basis for important warning systems like incorrect seat belt attachments or unsupervised babies inside a vehicle.
Vehicle sensors can register and monitor driving style for new driver assessment by driving schools, or convicted drivers by law enforcement institutions.
Digital marketing and entertainment
Marketing campaigns can be defined (term, targets, content, triggers) for the whole connected customer base, with a higher conversion rate than traditional CRM/marketing strategies.
Customer applications for mobility services become digital inventories for mobile advertisement that agencies can use to their advantage.
Customer engagement strategies for mobile service users can include the right content selection based on mobility data.
Based on mobility data that reflects driving style (accelerations, decelerations, harsh turns, etc.), risk factors can be determined for the insurance sector.
Based on mobility data from a vehicle taken before, during and after a crash, an automatic forensic report can be sent to relevant parties.
Mobility data, such as change in location, can provide an extra level of security for credit and mobile payment systems to avoid fraud.
In certain cases, the exact location of the individual is needed to certify personal identification or grant access to physical or virtual locations.
Autonomous vehicle (AV) systems
Dynamic raw and elaborated mobility data is a valuable input for AV systems as unbiased training sets.
Mobility data, with information about POIs, roadwork, route information, etc., is valuable for navigation systems to enrich their information and improve precision and accuracy when assessing routes.
Digital map updating is a never-ending task that consumes significant resources. By using real-time mobility data from connected vehicles and pedestrians, the quality and usefulness of digital maps can be significantly improved.