| Identification of road-surface type using deep neural networks for friction coefficient estimation E Šabanovič, V Žuraulis, O Prentkovskis, V Skrickij Sensors 20 (3), 612, 2020 | 109 | 2020 |
| The impact of road roughness on the duration of contact between a vehicle wheel and road surface V Žuraulis, L Levulytė, E Sokolovskij Transport 29 (4), 431-439, 2014 | 46 | 2014 |
| Autonomous road vehicles: recent issues and expectations V Skrickij, E Šabanovič, V Žuraulis IET Intelligent Transport Systems 14 (6), 471-479, 2020 | 36 | 2020 |
| Examination of vertical dynamics of passenger car with wheel flat considering suspension parameters S Steišūnas, J Dižo, G Bureika, V Žuraulis Procedia Engineering 187, 235-241, 2017 | 29 | 2017 |
| The research of dynamic characteristics of avehicle driving over road roughness L LevuLytė, V Žuraulis, E Sokolovskij Eksploatacja i Niezawodność 16 (4), 2014 | 26 | 2014 |
| The opportunities for establishing the critical speed of the vehicle on research in its lateral dynamics V ŽurAulis, E Sokolovskij, J Matijošius Polish Maintenance Society, 2013 | 26 | 2013 |
| Variability of gravel pavement roughness: An analysis of the impact on vehicle dynamic response and driving comfort V Žuraulis, H Sivilevičius, E Šabanovič, V Ivanov, V Skrickij Applied Sciences 11 (16), 7582, 2021 | 19 | 2021 |
| ABS braking on rough terrain NA van der Merwe, PS Els, V Žuraulis Journal of Terramechanics 80, 49-57, 2018 | 19 | 2018 |
| The analysis of drivers’ reaction time using cell phone in the case of vehicle stabilization task V Žuraulis, S Nagurnas, R Pečeliūnas, V Pumputis, P Skačkauskas International journal of occupational medicine and environmental health 31 …, 2018 | 18 | 2018 |
| Development and verification of a shock absorber and its shim valve model based on the force method principles P SkAčkAuSkAS, V ŽurAuliS, V VAdlugA, S NAgurNAS Eksploatacja i Niezawodność 19 (1), 2017 | 18 | 2017 |
| Estimation of road roughness from data of on-vehicle mounted sensors V SurblyS, V ŽurAuliS, E SokoloVSkij Polish Maintenance Society, 2017 | 17 | 2017 |
| Technological measures of forefront road identification for vehicle comfort and safety improvement V Žuraulis, V Surblys, E Šabanovič VGTU Press, 2019 | 16 | 2019 |
| Experimental study of winter tyre usage according to tread depth and temperature in vehicle braking performance V Žuraulis, G Garbinčius, P Skačkauskas, O Prentkovskis Iranian Journal of Science and Technology, Transactions of Mechanical …, 2020 | 15 | 2020 |
| A road safety-based selection methodology for professional drivers: Behaviour and accident rate analysis J Zaranka, R Pečeliūnas, V Žuraulis International journal of environmental research and public health 18 (23), 12487, 2021 | 14 | 2021 |
| Vehicle speed prediction from yaw marks using photogrammetry of image of traffic accident scene V Žuraulis, L Levulytė, E Sokolovskij Procedia engineering 134, 89-94, 2016 | 12 | 2016 |
| Vehicle velocity relation to slipping trajectory change: an option for traffic accident reconstruction V Žuraulis, E Sokolovskij Promet-Traffic&Transportation 30 (4), 395-406, 2018 | 10 | 2018 |
| Investigation of factors that have affected the outcomes of road traffic accidents on Lithuanian roads T Leonavičienė, S Pukalskas, V Pumputis, E Kulešienė, V Žuraulis The Baltic journal of road and bridge engineering. 15 (5), 1-20, 2020 | 9 | 2020 |
| Semi-active suspension influence on comfort sensation of a vehicle occupant V Žuraulis, R Pečeliūnas, G Jakutis Aleksandro Stulginskio universitetas, 2014 | 8 | 2014 |
| Assessment of risky cornering on a horizontal road curve by improving vehicle suspension performance V Žuraulis, V Surblys RTU Press, 2021 | 7 | 2021 |
| A method for automatic image rectification and stitching for vehicle yaw marks trajectory estimation V Žuraulis, D Matuzevičius, A Serackis Promet-Traffic&Transportation 28 (1), 23-30, 2016 | 6 | 2016 |
