| Project title |
Experimental and Numerical Characterisation of Low-Cost Roadside Barrier Solutions |
| Summary |
The NRA is seeking low-cost roadside barrier solutions for National Secondary Roads suitable for implementation following road realignment projects. The current project proposes to use well-established computational modelling techniques to evaluate the potential for proposed new designs that are based on freely available low-cost natural building materials (e.g. stone wall, earth etc.) and which meet cost, aesthetic and engineering requirements. The proposed designs will simultaneously be evaluated for aesthetics and lifecycle cost and a cost/benefit analysis on the proposed designs will be performed by comparison with existing products. A scaled prototype of the final proposed design will be produced and physically crash tested to predict the likely performance of the proposed new design in a full-scale barrier test. If the scaled prototype physical test indicates a high potential for success, a full-scale barrier test will be performed at TRL in the UK. |
| Funding Agency |
National Roads Authority (€298,000, Co-PI) |
| Programme |
NRA Fellowship Programme |
| Type of Project |
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| Date from |
02-2011 |
| Date to |
08-2013 |
| Person Months |
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| Project title |
Testing, modelling and optimal design of noise barriers for Ireland |
| Summary |
Noise barriers must satisfy a number of standards with regards to their acoustic performance in a laboratory environment along with their mechanical performance and general safety requirements. However these test methods are not developed with a view to on-site testing or to determine continued performance of barriers. The proposed project aims to improve current assessment procedures for determining the acoustic performance of road traffic noise reducing devices. This will initially involve an assessment of the current European standard method for determining values for sound reflection and airborne sound insulation for a noise barrier using an in-situ technique. An alternative, relatively cheap and rapid technique for measuring the in-situ performance of noise barriers will then be developed. |
| Funding Agency |
National Roads Authority (€142,000, Co-PI) |
| Programme |
NRA Fellowship Programme |
| Type of Project |
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| Date from |
10-2010 |
| Date to |
10-2012 |
| Person Months |
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| Project title |
ROTHAR: Route planning and network modelling for cyclists |
| Summary |
In a road network, cyclists are the group exposed to the maximum amount of risk. Route choice of a cyclist is often based on level of expertise, perceived or actual road risks, personal decisions, weather conditions and a number of other factors. Consequently, cycling tends to be the only significant travel mode where optimised route choice is not based on least-path or least-time. The project will involve collecting a significant amount of data using Smart Phones from selectively chosen volunteer cyclists in Dublin representing a wide cross-section of the entire gamut of cyclists. A repository will be established for the cycling routes and other variables for anonymous but uniquely identified cyclists. Interrelationships and clustering for targeted sub-groups within cyclists will be explored from this data. The research will eventually develop a cycling network map of the city with all possible routes marked and indexed according to their safety, reliability, travel time, energy requirement and other attributes. This map would provide an invaluable tool to cyclists in terms of journey safety and time efficiency. CLARITY has funded €5000 for development of a smart-phone based app. |
| Funding Agency |
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| Programme |
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| Type of Project |
PhD |
| Date from |
10-2010 |
| Date to |
10-2014 |
| Person Months |
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| Project title |
Short-term modelling of traffic variable |
| Summary |
Short-term Traffic Flow Forecasting (STFF), the process of predicting future traffic conditions based on historical and real-time observations is an essential aspect of Intelligent Transportation Systems (ITS). This project aims at developing univariate and multivariate STTF algorithms using time-series and neural network algorithms. VARMA model, Structural time-series models, adaptive MLF & RBF models are used to develop new and efficient prediction algorithms using SCATS and MIDAS data. Along with this, vehicular air-pollution levels are also modelled and predicted. |
| Funding Agency |
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| Programme |
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| Type of Project |
PhD |
| Date from |
10-2008 |
| Date to |
10-2012 |
| Person Months |
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| Project title |
Automatic Detection of Damage using Image based Techniques in Underwater Marine Structures |
| Summary |
This project proposes to automate damage detection in underwater marine structures using image based techniques. Access to underwater structures is usually limited and an automated detection can potentially very significantly improve the condition monitoring, operational complexity and financial implications related to deterioration of the structures. The project will develop image based techniques particularly suited to underwater conditions and automatically detect damage and related features of interest. Advanced image segmentation and texture analysis techniques will be significantly employed in this project. Isolation of diverse surface features like marine growth, dusty regions and presence of marine life will be established. Additionally, this image based Non-Destructive (ND) approach will explore the appropriateness and limitations of resurrecting archived image and video data of underwater inspections. |
| Funding Agency |
(€48000IRCSET+€24000CAPACITES SAS) |
| Programme |
Enterprise Partnership Scheme |
| Type of Project |
PhD |
| Date from |
10-2011 |
| Date to |
10-2014 |
| Person Months |
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| More Research Projects>>> |
| Dunne, S. & Ghosh, B., A Regime-based Short-term Multivariate Traffic Condition Forecasting Algorithm , Journal of Transportation Engineering, ASCE, , 2011 |
| Ghosh, B, Pakrashi, V and Schoefs, F, 'High Dynamic Range Image Processing for Non-Destructive-Testing, European Journal of Environmental and Civil Engineering, 2011 |
Ghosh, B., Basu, B. and O'Mahony, M, Wavelet-Bayesian hierarchical stochastic model for short-term traffic flow at noncritical junctions, Procs of the 87th Annual Meeting of the Transportation Research Board, Washington D.C., January, 2008, ppCDROM
TARA - Full Text URL |
B.Ghosh, B. Basu. M. O'Mahony, Bayesian Time-Series Model for Short-term Traffic Flow Forecasting, Journal of Transportation Engineering, 133, (3), 2007, p180 - 189
TARA - Full Text DOI URL |
| Ghosh, B., Basu, B. and O’Mahony, M. M. , Analysis of Trend in Traffic Flow, Proceedings of Institute of Engineering and Technology: Irish Signals and Systems Conference, 2006 |
| More Publications and Other Research Outputs >>> |
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Last Updated:19-APR-2014 |