Consultancy Services for the Development and Implementation of a GIS - PowerPoint PPT Presentation

Consultancy Services for the Development and Implementation of a GIS based Road Maintenance Management System for Saint Lucia

Contents 1. Road maintenance planning and RAMS (KS) 2. Systems, data and data flows (KS) 3. Data collection methodology (MK) 4. Road sector processes (ES) 5. Capacity building (KS)

1. Road maintenance planning

Ad-hoc planning

Maintenance is needed Preventative maintenance Instead of Emergency maintenance

Maintenance is needed Service level & quality problems

Reactive vs. preventive maintenance

Preventive maintenance

Optimisation of road maintenance

Scenarios for the Maintenance Budget SCENARIO - 7.7 SCENARIO - 55 SCENARIO - 25 MUSD/YEAR (0.09% MUSD/YEAR (0.7% MUSD/YEAR (0.31% GDP) GDP) GDP) Good Fair Poor Good Fair Poor Good Fair Poor 37% 57% 57% 57% 65% 88% 34% 25% 25% 25% 25% 29% 17% 17% 17% 8% 10% 4% 2016 2036 2016 2036 2016 2036 * NOTE: planned/ongoing 654 MUSD investment for the road retwork has been assumed to bring 623km of roads from bad condition into good condition (2011-2020).

Optimized Maintenance Programme Overlay 50mm AC Upgrade gravel road to bitumen Rehabilitation

Project Objectives 1. Collection of relevant data with procured equipment for sustainable road management and maintenance decision-making 2. Implemented Road Asset Management System modules to support decisio n-making and optimisation 3. Institutionalised business processes to support use of RAMS and data for o ptimal decisions 4. Fully trained users to operate the software and hardware according to the i nstitutionalised processes 5. Increased road life for the same budget through systematic approach 1 3

2. Systems and data flows

Bridges Properties of the Road Culverts & Drainage Condition Functional Condition Structural Condition Vulnerability for Natural Hazards Hilliness and Geometry Road Videos and Photographs Traffic Data Black Spots and Safety Hazards GIS Multi-year Maintenance plan, RMMS Expenditures Strategic Analysis Road Database Budgeting Complete RAMS Annual Reports Model Key Performance Indicators

RAMS architecture RAMS Road Information Subsystem RAMS Strategy and Client Policy Subsystem Devices RAMS Periodic Maintenance planning Subsystem RAMS Routine Application Programming Interfaces Maintenance planning Subsystem RAMS Server code RAMS Bridge Cloud Management Subsystem Server RAMS Capacity Road and GIS Central Road Asset Expansion Subsystem data pre- Database processing 1 6

Web-based User Interface

System data flows: GIS & RDB Quantum Geographic Information System (QGIS) Match using Linear Referencing System GIS data processing: 1. reduction of Relevant unnecessary road tables for RAMS Database GIS Database alignment points RAMS 2. selection of the correct tables and fields Possible manual and automatic validation Roadroid IRI Survey Database

System data flows: survey data Manual Bridge Manual transfer of the inspections traffic Portable data and counts traffic import may be Mobile Automatic data counts required application and transfers from intermediate the tablet server used Intermediate server in the Permanent data transfer traffic BMS counts RMMS Manual transfer of the data and Intermediate import is required server in the data transfer RAMS Database may be required Videos and Inventory & FWD data photos PDI 1 9

RAMS IT hardware Public Cloud Private Server

Data requirements and dictionary Road inventory Location – Characteristics (width, length, road class) – Geometry: curvature, rises and falls, gradient – Pavements Structural condition (bearing capacities by Falling Weight Deflectometer) – Functional condition (International Roughness Index, Pavement Distress Index) – Gravel thickness and subgrade soil classification – Drainage condition – Pavement ages – Work history – Structures Bridge and culvert inventory – Characteristics – Condition – Traffic Composition and volumes – Finance and operations Maintenance standards for routine and periodic maintenance & reconstruction – Past works – Unit costs – Maintenance funding sources and budget constraints – Maintenance strategies and contracts – National Vehicle Fleet with prices –

Status of the current data In the GIS database Number of classified paved roads 1725 Number of classified non-paved roads 0 Number of non-classified paved roads 1093 Length of the paved roads 820.4 km Total length of all the roads 1892.6 km Maximum road length 11.8 km Average paved road length 499 m Number of bridges, large culverts and tunnels 229 Number of culverts 18138 Number of retaining walls 8430

Status of the current data Primary (A) Secondary (B) Tertiary (C) Streets (D) Number of classified paved roads 24 34 231 342 Length of classified paved roads (m) 129 566 63 785 221 979 81 045 Number of non-classified paved roads 1 425 Length of non-classified paved roads (m) 391 575 Number of non-classified unpaved roads ? Length of non-classified unpaved roads (m) 1 067 220

3. Data collection methodology

Road Surveys Device Manufacturer Data to collect FlexPak6 GPS Novatel Centerline coordinates Roadroid Smartphone Roug Roadroid Roughness (IRI), road videos/images. hnessApplication Roadroid Inventory Tablet Roadroid Road and condition Inventories, manual t raffic counting EyeVi videologging and lase ReachU 360° road images and 3D-model of road rscanning surroundings, inventories Falling Weight Deflectomete Dynatest Bearing Capacity (Deflection, E-modules, r stresses and strains) IRImeter Englo Roughness (IRI), crossfall* Tube traffic counters Metrocount AADT, vehicle composition Magnetic traffic counters Sensebit AADT, vehicle composition, speed, seasonal factors Dynamic Cone Penetrometer Controls group Gravel thickness, subgrade soil classificati on

Road Inventory - GPS u Location of the centerlines u Algorithm creation for curvature, hilliness and rises and falls from the GPS tra ck With Egnos correction accuracy is 0.6-0.7m

Basic Video Logging u Road videos and interval images act as “eyes” to the road network u From videos is possible to make road inventories: Pavement type, Shoulder type, Drainage condition class, Pavement condition class

Advanced Video Logging u 360° Panoramic images with 3D Lidar laserpoints u Orthophotos u Road Inventory: road width, pavement width, Shoulder width u Height of road side objects

Roughness (IRI) u IRI by IQL3 u Year 1: Accelerometer-based survey using Samsung S7 phones (Roadroid)

Roughness - IRI u Year 2 onwards: Roadroid is left for lower network surveys and more accurate equipment is procured: (IRImeter2) u Central block with a display and USB interface u Wireless IRI sensor(s) u Roof-mounted GPS antenna u IRImeter1 has sensor for crossfall surveys, if needed. IRImeter1 is not wireless.

Calibration of IRI u Calibration road sections will be identified and measured with Dipstick to get “true value” against which the roughness surveys devices are calibrated u Three test road segments (in good, fair and poor condition) of 500 m are selected and manually measured by Dipstick u Each of them are surveyed with Roadroid by different speeds (20 km/h, 40 km/h, 60 km/h) and calibration factors are calculated u Average of all the calibration factors is used in the surveys

Bearing Capacity u The Dynatest Falling Weight Deflectometer (FWD) applies a dynamic load that simulates the loading of a moving wheel. u The pavement response is analyzed with Dynatest's ELMOD (Evaluation of Layer Moduli and Overlay Design) software to determine the elastic moduli, stresses and strains of each modeled layer. u ELMOD reports the weakest layer of failure, residual life and determines the optimum rehabilitation alternatives.

– lick on “Inventory” button Pavement Surface & Drainage Condition “Click to add inventory category” “Start inventory”. u Using the same videos / photos as for road inventory survey – Visual assessment in the office u Creation of condition rating for visual assessment: 1-Very good, 2-Good, 3-Fair, 4-Poor, 5-Very poor 3 2 4 1 5 6 6. Finish the survey by clicking on “Stop and save inventory” button. be available on the “import history” where

Traffic Surveys u AADT, Traffic Composition, average speed u Hourly, weekly and seasonal factors u Permanent and portable counters u Manual counting on minor roads

Bridge Condition Inventory u Bridge and culvert inventory u Characteristics & Condition u Tablet for data collection u DISTO D510 Laser Distance measurer u Crack gauge (simple card with different lines with thicknesses starting from 0.1 mm to 2 mm) u Helmet u Safety rope or simple climbing equipment (harness, rope, stopper) u Safety vest u Small hammer (for delamination detection) u DJI Mavick Pro drone for inspections and for making 3D models u Screwdriver or knife (for rust and timber testing) u Hand torch or headlight u 30 cm ruler or distance measure tape (for small measurements and pictures) u Camera (DSLR) u Ladder (preferably folding ladder with minimum height of 5 meters) u The coating thickness measurer Sauter TF 1250