Road Inventory’s Roadroid training in Myanmarroadroid.com/common/References/Roadroid News 2 - Feb...

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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

Transcript of Road Inventory’s Roadroid training in Myanmarroadroid.com/common/References/Roadroid News 2 - Feb...

Page 1: Road Inventory’s Roadroid training in Myanmarroadroid.com/common/References/Roadroid News 2 - Feb 2014.pdfRoad Inventory’s Roughness can be seen as an average of a road´s state.

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

Page 2: Road Inventory’s Roadroid training in Myanmarroadroid.com/common/References/Roadroid News 2 - Feb 2014.pdfRoad Inventory’s Roughness can be seen as an average of a road´s state.

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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Page 3: Road Inventory’s Roadroid training in Myanmarroadroid.com/common/References/Roadroid News 2 - Feb 2014.pdfRoad Inventory’s Roughness can be seen as an average of a road´s state.

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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Speed (km/h) Altitude (m)

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