Honours Project Poster
1
Cycling Infrastructure: Condition Assessment and Maintenance Neil Dickson - BSc Civil Engineering, James Calveyᵻ, Mark Taylor*. ᵻ PhD research student, * Project leader 10 Colinton Road, Edinburgh, City of Edinburgh EH10 5DT g Introduction Aims and Objectives Methodology Results Future Work References Conduct a literature review examining current standards for off-road infrastructure maintenance and design; and the role of GIS (Geographical Information Systems) in asset management. Conduct field testing of Edinburgh’s off-road cycle paths collecting key data regarding current infrastructure quality using the IntelliBike. Create a GIS presentation for surveyed routes that can be used to explain key data to local authorities. Consider the implication of the data collected and presented, and its benefit to local authorities. Draw conclusions and make recommendations for best practise and future research Image from; www.innertubemap.com Distance Location Altitude Average (g) Day (lux) Night (lux) Vegetation level Debris Leaves Standing Water Surface Defect Signage Artificial lighting Path Width Material Type (meters) Latitude Longitude British National Grid (meters) Run 1 Run 2 Level Overgrown Location Location (meters) 0 - 5 N55° 58' 27.0" W3° 12' 08.0" NT 25069 76334 21.6 -1.44 -1.36 4570 9.6 3 X Y Asphalt Example of a Master Database Traditionally condition assessment and data collection on cycle paths was carried out by a single person by means of a walk-over survey. This method is not the most accurate because it relies on the opinion and observation skills of the person carrying out the survey, it is also very time consuming. The IntelliBike system looks to revolutionises the way we look at our cycle infrastructure. The IntelliBike combines several data collection technologies which are then subjected to a satisfaction rating. The resulting data will then be developed into a digital map that will be easy to understand, present and archive. Route 4 Route 3 A.Taggart, M. L. (2014). UKRLG Framework for highway infrastructure asset management . London : ICE Publishing . F.Borgman. (2003). The Cycle Balance: benchmarking local cycling conditions . Cambridge, UK: Woodhead Publishing Limited. G.Mackenzie, M. (2013). Transport 2030 Vision . Edinburgh: Edinburgh City Council . J.C.Calvey, M. J. (2013). IntelliBike: A cycling infrastructure asset management system. Edinburgh, UK: Edinburgh Napier University. M.Oliver, H. S. (2010). Combining GPS,GIS and Accelerometry: Methodological Issues in the Assessment of Location and Intensity of Travel Behaviours . Auckland: Journal of Physical Activity and Health. 1 2 3 4 5 1. Gorgie to Drylaw Bridge 2. Blackhall Path 3. Edinburgh Canal (Viewforth to Chesser) 4. 5 points to Goldenacre Path 5. Water of Leith Path Image from; www.google.com A. GoPro Camera B. Contour Plus 2 C. Garmin Edge 800 D. ATP Precision (sound logging) E. ATP LX-8809A (light meter) F. Madge Tech Shock 101 (altimeter) G. Acer Aspire One (data logger) Image from; Intellibike: a cycling infrastructure asset management system – J.C.Calvey The initial test will be carried out on five test routes. The routes were selected because they give the broadest range on surface types. Each route will be run with the IntelliBike, twice during the day, collecting data on vibration, light, altitude, distance, time, GPS location and front and forward facing video. The route will also be walked once at night collecting GPS location and light. Each run on the bike should average 17kph. The data will then be collated and synchronised using Microsoft Excel. The video will then be analysed to pick out features such as signage, lighting hardware, vegetation level, debris, leaves, standing water, path width and surface defects and material of the route. These will be added to the database. The GPS data will be collected in both British National Grid and Longitude and Latitude. The light meter records in Lux The altimeter records in g-force. The future of this research lies in time. The idea that this research can be recorded monthly over a five or ten year period and combined with a few extra data fields like traffic counts and daily weather reports would provide a wealth of data. That data could be used to show which areas are prone to damage and to predict what maintenance and when maintenance will be required. The data could also be used to further develop materials that are used for road surfacing. http://newsoffice.mit.edu/2014/wireles s-system-traffic-congestion-0915 -10 -5 0 5 0 200 400 600 800 1000 1200 Vibration (g) Distance (m) Route 4 - Vibration Logger Run 1 Run 2 0 10 20 30 40 50 0 500 1000 1500 Light (lux) Distance (m) Route 4 - Light (Night) Meter Night Route 1 After the data has been synced onto a spreadsheet it will be distance synced then all the information on the route will be input into a master database (see bottom of poster). Once in the mater data base the data is ready to be analysed as can be seen to the left. Route 4 is a part asphalt part gravel path and this can clearly be seen on the vibration logger chart. Route for only has lighting on the asphalt surface area which can be seen on the light meter chart. The data is also ready to be used to make digital map. Civil 3D will be used to make the maps. A traffic light colouration will be used to show good and bad areas, like in the example of congestion on the streets of Boston (see left). This is thought to be the clearest way of presenting the results.
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Transcript of Honours Project Poster
Cycling Infrastructure: Condition Assessment and MaintenanceNeil Dickson - BSc Civil Engineering, James Calveyᵻ, Mark Taylor*. ᵻ PhD research student, * Project leader
10 Colinton Road, Edinburgh, City of Edinburgh EH10 5DT
g
Introduction
Aims and Objectives
Methodology Results
Future Work
References
Conduct a literature review examining current standards for off-road
infrastructure maintenance and design; and the role of GIS
(Geographical Information Systems) in asset management.
Conduct field testing of Edinburgh’s off-road cycle paths collecting
key data regarding current infrastructure quality using the IntelliBike.
Create a GIS presentation for surveyed routes that can be used to
explain key data to local authorities.
Consider the implication of the data collected
and presented, and its benefit to local authorities.
Draw conclusions and make recommendations
for best practise and future research
Image from; www.innertubemap.com
Distance Location Altitude Average (g)Day (lux) Night (lux)
Vegetation level Debris Leaves Standing Water Surface Defect SignageArtificial lighting
Path WidthMaterial Type
(meters) Latitude Longitude British National Grid (meters) Run 1 Run 2 Level Overgrown Location Location (meters)0 - 5 N55° 58' 27.0" W3° 12' 08.0" NT 25069 76334 21.6 -1.44 -1.36 4570 9.6 3 X Y Asphalt
Example of a Master Database
Traditionally condition assessment and data collection on cycle paths was carried out by a single person by means of a walk-over survey. This method is not the most accurate because it relies on the opinion and observation skills of the person carrying out the survey, it is also very time consuming.
The IntelliBike system looks to revolutionises the way we look at our cycle infrastructure. The IntelliBike combines several data collection technologies which are then subjected to a satisfaction rating.
The resulting data will then be developed into a digital map that will be easy to understand, present and archive.
Route 4
Route 3
A.Taggart, M. L. (2014). UKRLG Framework for highway infrastructure asset management . London : ICE Publishing .
F.Borgman. (2003). The Cycle Balance: benchmarking local cycling conditions . Cambridge, UK: Woodhead Publishing Limited.
G.Mackenzie, M. (2013). Transport 2030 Vision . Edinburgh: Edinburgh City Council .
J.C.Calvey, M. J. (2013). IntelliBike: A cycling infrastructure asset management system.Edinburgh, UK: Edinburgh Napier University.
M.Oliver, H. S. (2010). Combining GPS,GIS and Accelerometry: Methodological Issues in the Assessment of Location and Intensity of Travel Behaviours . Auckland: Journal of Physical Activity and Health.
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2
3
4
5
1. Gorgie to Drylaw Bridge2. Blackhall Path 3. Edinburgh Canal (Viewforth to Chesser)4. 5 points to Goldenacre Path5. Water of Leith PathImage from; www.google.com
A. GoPro CameraB. Contour Plus 2 C. Garmin Edge 800D. ATP Precision (sound logging)E. ATP LX-8809A (light meter)F. Madge Tech Shock 101 (altimeter)G. Acer Aspire One (data logger)
Image from; Intellibike: a cycling infrastructure asset management system – J.C.Calvey
The initial test will be carried out on five test routes. The routes were selected because they give the broadest range on surface types. Each route will be run with the IntelliBike, twice during the day, collecting data on vibration, light, altitude, distance, time, GPS location and front and forward facing video. The route will also be walked once at night collecting GPS location and light. Each run on the bike should average 17kph.
The data will then be collated and synchronised using Microsoft Excel.The video will then be analysed to pick out features such as signage, lighting hardware, vegetation level, debris, leaves, standing water, path width and surface defects and material of the route. These will be added to the database.The GPS data will be collected in both British National Grid and Longitude and Latitude.The light meter records in LuxThe altimeter records in g-force.
The future of this research lies in time. The idea that this research can be recorded monthly over a five or ten year period and combined with a few extra data fields like traffic counts and daily weather reports would provide a wealth of data. That data could be used to show which areas are prone to damage and to predict what maintenance and when maintenance will be required. The data could also be used to further
develop materials that are used for road surfacing.
http://newsoffice.mit.edu/2014/wireless-system-traffic-congestion-0915
-10
-5
0
5
0 200 400 600 800 1000 1200
Vib
rati
on
(g)
Distance (m)
Route 4 - Vibration Logger
Run 1 Run 2
01020304050
0 500 1000 1500
Lig
ht
(lu
x)
Distance (m)
Route 4 - Light (Night) Meter
Night
Route 1
After the data has been synced onto a spreadsheet it will be distance synced then all the information on the route will be input into a master database (see bottom of poster). Once in the mater data base the data is ready to be analysed as can be seen to the left.Route 4 is a part asphalt part gravel path and this can clearly be seen on the vibration logger chart. Route for only has lighting on the asphalt surface area which can be seen on the light meter chart.
The data is also ready to be used to make digital map. Civil 3D will be used to make the maps. A traffic light colouration will be used to show good and bad areas, like in the example of congestion on the streets of Boston (see left). This is thought to be the clearest way of presenting the results.
