Road Inventory’s Roadroid training in Myanmarroadroid.com/common/References/Roadroid News 2 - Feb...
Transcript of Road Inventory’s Roadroid training in Myanmarroadroid.com/common/References/Roadroid News 2 - Feb...
URL: www.roadroid.com - E-mail: [email protected] / Mobile: +46-72-2426620
Road Inventory’s
Roughness can be seen as an
average of a road´s state. But
there are also other parameters
to express the road´s complete
condition.
Rutting, Raveling and Cracks
are some. Apart from complex
/expensive survey technolo-
gies, a frequently used
method is still pen and paper!
Our Road inventory app is
collecting data from visual
input, and manages it using
our existing Android and web
framework. It saves lots of
time and increase the quality
compared to pen and paper!
Roadroid training in Myanmar 20-24 January a training event was arranged in Myanmar.
15 operators were trained to operate Roadroid in all its
components, and another 15 people had a short introduction.
The training overall went very well and after 2 days of
training, the road from Yangon to Nawpywtaw was
surveyed. Some results were presented already the next
day at a presentation to the Ministry of Construction .
Some additional features, such as GPS-Video and the
Road inventory app, were also shown.
Road Condition Monitoring with Smartphones No. 2 - Mar 2014
URL: www.roadroid.com - E-mail: [email protected] / Mobile: +46-72-2426620
Roadroid in Australia Roadroid will make a presentation at the 9th
Australian Road Engineering & Maintenance
Conference, taking place in Melbourne 1-2
April 2014.
We will present findings from the past field
surveys in Myanmar and Papua New Guinea.
We are also working on some kind of practical
workshop connected to the event.
Hook up for Melbourne – send us an e-mail!
IRI Left and Right The Myanmar training gave opportunity to
sample roughness from two different vehicles
and from both left and right side of the car at the
same time.
We were also actively tuning the calculated IRI
using the adjustment constant. The ProVAL
simulation and tests of cIRI were promising,
but had not yet been extensively field tested.
We could now study several interesting
circumstances, such as the influence of car type,
wheel path and the behavior of both calculated
IRI (cIRI) and estimated IRI (eIRI).
Data from 17 test sections were collected, with
section lengths of 10-60 km.
The road classes ranged from the Expressway
(concrete) to Myo Chaung road (a very narrow
paved road) and the paved NH01. We also
learnt more about optimal speeds for different
road classes.
The two cars (a Honda and a Toyota) behaved
similarly, and we could see that wheel path and
vehicle speed influence results more than car
type.
The eIRI and cIRI data were highly repetitive!
The cIRI adjustment constant 1.5 seemed
suitable for the car type used. It gave a reading
slightly above the eIRI. 1.25 was equal or just
below the eIRI.
The NH01 was extended towards the right, and
the difference between left and right side
clearly showed in the IRI measurements.
The additional GPS-video camera was a very
powerful support to the data collection.
More of the results will be presented at the 9th
Australian Road Engineering & Maintenance
Conference, in Melbourne 1-2 April 2014.
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cIRI Honda Left
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cIRI - Honda Right
cIRI - Honda Left
URL: www.roadroid.com - E-mail: [email protected] / Mobile: +46-72-2426620
Winter Roads We have also been involved in some early tests
on Canadian winter roads in Alberta.
Enormous amount of timber are being
transported on the gravel road network – and
each kilometer per hour is essential for the
economy.
It is not just a matter of time for the valuable
load, but also about fuel consumption – and
environment. If the truck can drive without
breaking and accelerating, this saves much fuel.
By monitoring the roughness of the plowed or
graded roads, the winter maintenance can be
optimized.
Vehicle speed and altitude (the vertical profile
of the road) are also collected and complement
the roughness values.
The smartphone´s camera can also be used to
easily take and transfer GPS-tagged photos.
After the initial proof-of-concept, we now await
the conclusion of our Canadian counterpart´s
funding process. Hopefully we can soon
proceed.
We are also in contact with several actors in the
Quebec area, and are supported by several
initiatives to support Canadian and Europeean
innovation cooperation.
Other research Roadroid received the preliminary results of the
research from University of Auckland and
University of Pretoria. Their findings are still
not public, but they have both given us very
important input. Based on their input, we have
been able to tune the app and adapt data
collection methods.
We are discussing new research approaches,
and we are also in contact with other research
organizations around the globe.
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