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Project Overview

The fundamental premise of the proposed RONDA project, its ecosystem and its architecture (depicted below) is to utilize a real-life transport network (Lakatamia Municipality) to study roadway infrastructure and several vulnerability aspects with respect to key quantitative and qualitative attributes of traffic and roadway pavement conditions, and to offer a low-cost, participatory-sensing integrated hardware/software platform for the sustainable management of this network. Further to the consortium partners, the proposed ecosystem will capitalize on existing links with the academic sector, the public and the private sectors, strengthening the synergies between them. Among the most notable outputs of the project will be the RONDA data hub (with data and relevant quantitative and qualitative models), research findings, policy consultation and capacity building for interested organizations.


Project Work Packages (WP)

  1. Project Management (M01-M36): WP1 guarantees the continuous evaluation of the project progress, the successful development and submission of deliverables, the mitigation of potential risks, the provision of contractual reports and cost statements. 
  2. Dissemination of Results (M01-M36): The main objectives of WP2 are (i) to increase the transfer of knowledge between the involved partners and (ii) to inform and involve relevant target groups (i.e. Municipalities, SMEs, technical chambers, key governmental stakeholders, as well as representatives from the scientific community and the general public).
  3. System Architecture (M02-M06): The main objective of WP3 is the development of the RONDA platform architecture to enable the envisioned roadway network distress detection, appraisal and management. The platform will integrate various hardware components, developed or hosted by the consortium members (such as DBMS servers (HO), drone technology (HO), the WisenseTM platform (PA1) and sensors (PA1), supervisory control and data acquisition (SCADA) systems (PA3, P5)), with geographical systems (PA2's GIS platform), custom analysis algorithms (HO's software modules), traffic and operational data (WP5's traffic control center), and RONDA-acquired pavement distress data and related traffic models by the HO, PA3 and PA4. 
  4. Vibration-Based Roadway Assessment Tools (M03-M24): WP4 focuses on the development of low-cost vibration sensor technology for the condition-appraisal of roadway pavements. Smartphone-based and/or custom-developed vibration sensors, coupled with on-board diagnostic (OBD) devices, will be utilized in the detection of roadway pavement anomalies. 
  5. Vision-Based Roadway Assessment Tools (M03-M24): WP5 aims the development of low-cost machine-vision (MV) technology for the condition-appraisal of roadway pavements. The detection and classification of roadway pavement anomalies will be done by use of smartphone-based and/or custom-developed embedded cameras and MV algorithms. 
  6. Drone and Vision-Based Traffic Assessment Tools (M12-M30): WP6 will deliver drone and vision-based traffic assessment tools, for measuring key traffic indices (traffic count, flow and headway, vehicle classification and counts) at selected network junctions. Further, autonomous (in terms of energy and guidance) drones will be developed for adaptive-location traffic assessment which will traverse the network at pre-set times to obtain such traffic metrics at points of interest. 
  7. Decision Support System (M12-M30): WP7 will assimilate the outputs of WP3-WP6 into a GIS-based decision support system (DSS) for the integrated low-cost assessment of roadway pavements and of traffic conditions. Further to the integration of developed algorithms and processes (e.g. timeseries analysis, distress detection and classification, etc.), the proposed DSS will encapsulate post-processing graph modules (GIS, heatmaps, etc.) and suggestions for pavement maintenance frequency and task prioritization. 
  8. Pilot Study - Roadway Network and Traffic Assessment (M18-M30): WP8 will manage the implementation of technology developed in WP3-WP7, on a pilot-study roadway network which will serve as a living lab for the RONDA project. The network, in the Lakatamia Municipality, will be retrofitted with induction-loop traffic sensors and the municipality vehicles with RONDA vibration and vision sensors, while a drone will be deployed at selected locations. The acquired data, which will be integrated with the ‘DIAVLOS’ national traffic control center, will then be processed by the RONDA platform for the creation of related pavement nad traffic condition spatiotemporal heatmaps. 
  9. Capacity Building (M31-M36): The project concludes with an intensive knowledge-transfer and capacity-building phase, in which the research and industrial partners will transfer the developed knowledge (hardware/software, models, vulnerability heatmaps, and related action plans) to the public and national authorities. WP9 will include training sessions and material, as well as a workshop (also open to other interested parties). 

Project Timeline

01 november 2019

Project Start

The project was set in motion. Its duration has been set to 36 months. 

01 december 2019

Start of WP2 and WP3

The design of the RONDA platform architecture starts. 

01 january 2020

Start of WP4, WP5 and WP6

Expected initiation of the WPs related to vibration-based and vision-based roadway assessment, and to adaptive-location aerial-borne traffic assessment.  

30 november 2020

Start of WP7

Development of the RONDA Decision Support System (DSS) starts.   

30 november 2021

Completion of WP3-WP6

WP3-WP6 complete. The RONDA platform and related transport assessment tools are tested.

01 may 2021

Pilot Study

Pilot-study implementation (WP8) of the developed RONDA platform and tools.

01 may 2022

Completion of WP7-WP8; 
Start of WP9 

Completion of the RONDA DSS/tools and th epilot study. Capacity-building activities start.

30 october 2022

Project Ends

The RONDA project completes!

Open-Access Project Deliverables


Quarterly project newsletters, leaflets/ posters  and other dissemination material.

White Papers

Journal/conference papers, project reports and white papers on the project's outputs.


Algorithms and software code on traffic modeling and transport infrastructure assessment.


Sample datasets used for traffic modeling and transport infrastructure assessment.

The project is co-financed by the European Regional Development Fund and the Republic of Cyprus through the Cyprus Research & Technology Foundation ('RESTART 2016-2020' Program) (Grant No. INTEGRATED/0918/0056).


University of Cyprus
Dept. of Civil and Environmental Engineering,
1, Panepistimiou Avenue
Aglantzia, Nicosia



RONDA Secretariat
Phone: (+357) 2289 3512