Civil and Structural Engineering, Building and Construction
14
Scopus Publications
Scopus Publications
Nanomaterials modified bio asphalt as cutting-edge material for pavement construction: a review on the present status and future outlook Vidya Rajesh, Bibhuti Bhusan Das, Cyril Thomas Antony Raj, Muthu Durairaj, Bhuvaneshwari Panchanthan Sustainable Environment Research, 2025 Nanomaterials research field has gained prominence in scientific community. The current scenario of exhaustion of sustainable resources and excessive energy usage have impacted the research thrust on potential use of cutting-edge materials and technologies. The current scenario of nanomaterials modified bio asphalt (NMBA) for pavements is reviewed. Firstly, the blends of nanomaterial and bio asphalt studies with their performance aspects are summarized in a methodical manner highlighting the enhancements of conventional properties like penetration, ductility, softening point, viscosity, rheological characteristics namely age, fatigue, high and low temperatures. The outcomes of the review present that nano materials could considerably show improved viscosity, Low & high-temperature property of NMBA. The low temperature of NMBA is marginally reduced in comparison to bio-asphalt without nanoparticles. Additionally, sustainability of biochar modified bitumen is assessed, taking into account its economic viability, environmental impact, life cycle evaluation, and reduction of carbon footprint. Subsequently, potential paths ahead are explored unearthing its prospective applications and future prospects to support safer and sustainable roads. Large scale and real time implementation of such studies would contribute to reducing environmental burden and will pave way for achieving sustainable development goals.
Probable Intersection Layouts and Effects on Traffic Flow at Ring Road upon the Operation of Multi Level Car Park at Tribhuvan International Airport Prabesh Adhikari, Madan Gopal Maharajan, Vidya Rajesh E3s Web of Conferences, 2024 Trbhuvan international Airport (TIA) is only one International Airport in Kathamandu. It has one domestic and one international terminal. The road intersection at the access road of the TIA and the Ring Road is one of the important intersections of traffic network of Kathmandu city. The probable impact on the Ring Road and road to multi level car park was investigated. SIDRA INTERSECTION 5.1 was used to analyze the delay and queue lengths at the intersection. The traffic count, vehicle dimensions, movement data and geometric data of the site were used as input for analysis. Four parameters consisting of average delay, level of service degree of saturation and queue length were considered for the analysis of the probable intersection layouts. The intersection was analyzed as of existing intersection layout and other six alternative options. The operational performance of intersection at ring road due to multi level car park without any improvement was found to cause more average delay and queue lengths under the existing layout. The analysis of probable intersection layouts show that right turn movements were main cause of traffic disturbance resulting into increased delay and queue length.
An insight review on cognitive bias for advanced driver assistance system R. Vidya, S. Yamini, A. Cyril Thomas, Sandeep Singh, S. Moses Santhakumar Future of Road Transportation Electrification and Automation, 2023 One of the concrete reasons for the cause of accidents is due to factors related to drivers. If drivers are provided with some sort of assistance accidents can be reduced by a significant number. The thought of the same gave rise to advanced driver assistance systems (ADAS) and autonomous vehicle (AV) with the help of the latest technological advancements such as radar, LiDAR, cameras, and sensors. ADAS provides the assistance required to prevent the vehicles from accidents or crashes. The article discusses driver operational behaviour adaptation for driver assistance system and cognitive behaviour adaptation system necessary for accepting the system and to successful implementation of system. This chapter discusses how the human factors, cognitive bias, driving behaviour, heuristics exhibited by the drivers can be a hindrance to get equipped with these modern systems. The proclivity for using these systems is not just dependent on advancements of the technology but also on the driver’s cognition to use it which is overlooked.
Repercussions of the COVID-19 Pandemic on the Air Quality of Chennai, India Vidya R, Sathees Kumar, Cyril Thomas A, Sharmila P Polish Journal of Environmental Studies, 2023 COVID 19 Pandemic in India had demanded an imposition of lockdown for three weeks initially and was extended further. This has drastic effect on air quality making it better because of control of vehicle emissions. This study analyzed the air quality in Chennai city using the parameters of pollution (NH 3, PM 2.5 , NO 2 , SO 2 , O 3 and CO) for air quality data for monitoring stations (three) spread over the city. National Air Quality Index (NAQI) has been used to present the quality of air spatially during lockdown and before lockdown. The concentrations of PM 2.5 among the pollutants selected showed a maximum reduction (-61%) compared to the pre-lockdown process. NO 2 (−40%) and CO (−32%) have also gone down when lockdown was in place, among other contaminants. In the different sections of the city, about 53% reduction in NAQI has been observed. Deep learning short-term predictions of various air pollutants are made in this study. The correlation between AQI and Pollutants (NH 3, PM 2.5 , NO 2 , SO 2 , O 3 and CO) in the study area modelled in deep learning using PYTHON. The classification of AQI class has been created in python with AQI values of Good (0-50), Satisfactory (51-100), Moderate (101-200), Poor (201-300), Very poor (301-400) and severe (>401). The study shows the level of co-relation of PM 2.5 being the highest. A linear regression model was performed and metrics such mean absolute error, r 2 to check the model performance for training and testing data are calculated. These results can be coupled with social, economic and Cultural factors that could have common emission patterns and air quality especially in metropolitan cities. The present study would aid authorities as it clearly shows that the quality can be made better if sources of emission can be diminished. This will pave way to protect and make the surroundings and environment better.
