This document discusses using telematics data from vehicles to help with planning infrastructure, identifying traffic risks, providing traffic and map information, and measuring radio coverage. It also looks at using one M2M solution to provide multiple parallel revenue streams and analyzes stop and idle time data from three offices, finding average stop durations, longest and shortest stops, and percentage of idle time for each. The document concludes by thanking the reader.
2. What you can do with telematics
if you have a large set of cars
Planning of infrastructure
Identify traffic risks
Traffic information
Map information
Measuring of radio Coverage
3. Can we find one M2M solution that can
provide several parallell revenue
streams?
Problem
Presentation, Springworks: we connect vehicles, which is awesome as there are infinitely many possibilities for faschinating innovations.
My role is to analyze the obtained data, and to create models on how to interpret data in new ways in order to provide new services.
We have a luxury problem: there are so many interesting things that we can and want to do, but theres only so much time
So we thought Is there a single M2M solution that can provide revenue in several different business cases?
It might sound like a tedious job to formulate the technical specifications for such a system in order to conform with all possible scenarios, but our solution is quite simple.
Can we find one solution for everything?
Account for everything -> Tedious technical specification
Our solution simple -> We just went for it
We just went on ahead and tried.
Hence we started a vinnova research project where postnord, telia, kth logistics and we our selves cooperate to investigate this matter.
Springworks develop infrastructure and analyze data
Telia provide connectivity
Postnord provide car fleet
Kth traffic logitics analyze data
The analytical phase of the project has not been running very long, only a few weeks. But already we can see some very promising results, and this is what Id like to focus on.
First of all, Kth used to develop models on traffic behaviour based on data that they receive from a large taxi company. The data is irregular and samples are obtained approximately every minute. This introduces a large uncertainty to the results.
----- Meeting Notes (6/16/14 08:34) -----
Installed TEM (show tem)
Early (few weeks), promising results
Before KTH traffic dep. Received data with 1 minute -> large uncertainty
Today -> no guessing, smaller uncertainty in input
Postnord delivers mail,
carfleet necessity, carfleet = cost
Current plattform -> monitor usage, create reports
We can create reports on for instance average velocity, number of stops, idle time, distance and a lot more.
Furthermore we are currently discussing to develop a pilot project with an ecodrive solution where the driver receives direct feedback on the driving behaviour in order to save fuel. Typically the fuel consumption is decreased by roughly 10% by such feedback systems. This would yield approximately 100milj sek in saved fuel costs, which a figure from postnord themselves.
----- Meeting Notes (6/16/14 08:34) -----
Data from approximately three weeks
We see -> aproximately 30% idle
Compare office 1,3 by total time vs number of stops.
fleet usage - vel, #stop, idletime, dist etc.
pinpoint areas of improvement
discussing ecodrive pilot
direct feedback
fuel consumption roughly 10% -> 100milj (postnord)
----- Meeting Notes (6/16/14 10:01) -----
peka noggrannare p奪 data
po辰ngtera att detta 辰r ny kunskap f旦r posten
Det h辰r 辰r n奪gra av mina slutsatser. Det 辰r inte dom I sig som 辰r det mest sp辰nnande, utan att se vart dom tar v辰gen.
Presentation, Springworks: we connect vehicles, which is awesome as there are infinitely many possibilities for faschinating innovations.
My role is to analyze the obtained data, and to create models on how to interpret data in new ways in order to provide new services.
We have a luxury problem: there are so many interesting things that we can and want to do, but theres only so much time