| Short-term traffic flow prediction using seasonal ARIMA model with limited input data SV Kumar, L Vanajakshi European Transport Research Review 7, 1-9, 2015 | 718 | 2015 |
| Travel time prediction under heterogeneous traffic conditions using global positioning system data from buses L Vanajakshi, SC Subramanian, R Sivanandan IET intelligent transport systems 3 (1), 1-9, 2009 | 264 | 2009 |
| A comparison of the performance of artificial neural networks and support vector machines for the prediction of traffic speed L Vanajakshi, LR Rilett IEEE Intelligent Vehicles Symposium, 2004, 194-199, 2004 | 235 | 2004 |
| Support vector machine technique for the short term prediction of travel time L Vanajakshi, LR Rilett 2007 IEEE Intelligent Vehicles Symposium, 600-605, 2007 | 164 | 2007 |
| A multiple inductive loop vehicle detection system for heterogeneous and lane-less traffic SSM Ali, B George, L Vanajakshi, J Venkatraman IEEE Transactions on Instrumentation and Measurement 61 (5), 1353-1360, 2011 | 132 | 2011 |
| Bus travel time prediction using a time-space discretization approach BA Kumar, L Vanajakshi, SC Subramanian Transportation Research Part C: Emerging Technologies 79, 308-332, 2017 | 115 | 2017 |
| Data fusion-based traffic density estimation and prediction A Anand, G Ramadurai, L Vanajakshi Journal of Intelligent Transportation Systems 18 (4), 367-378, 2014 | 91 | 2014 |
| Development of a real-time bus arrival prediction system for Indian traffic conditions RPS Padmanaban, K Divakar, L Vanajakshi, SC Subramanian IET Intelligent Transport Systems 4 (3), 189-200, 2010 | 89 | 2010 |
| Loop detector data diagnostics based on conservation-of-vehicles principle L Vanajakshi, LR Rilett Transportation research record 1870 (1), 162-169, 2004 | 74 | 2004 |
| Estimation of bus travel time incorporating dwell time for APTS applications RPS Padmanaban, L Vanajakshi, SC Subramanian 2009 IEEE Intelligent vehicles symposium, 955-959, 2009 | 68 | 2009 |
| Traffic density estimation under heterogeneous traffic conditions using data fusion RA Anand, L Vanajakshi, SC Subramanian 2011 IEEE Intelligent Vehicles Symposium (IV), 31-36, 2011 | 66 | 2011 |
| Improved flow-based travel time estimation method from point detector data for freeways LD Vanajakshi, BM Williams, LR Rilett Journal of Transportation Engineering 135 (1), 26-36, 2009 | 62 | 2009 |
| Real time bus travel time prediction using k-NN classifier BA Kumar, R Jairam, SS Arkatkar, L Vanajakshi Transportation Letters 11 (7), 362-372, 2019 | 59 | 2019 |
| Prediction of traffic density for congestion analysis under Indian traffic conditions A Padiath, L Vanajakshi, SC Subramanian, H Manda 2009 12th international IEEE conference on intelligent transportation …, 2009 | 59 | 2009 |
| Bus arrival time prediction: A spatial Kalman filter approach A Achar, D Bharathi, BA Kumar, L Vanajakshi IEEE Transactions on Intelligent Transportation Systems 21 (3), 1298-1307, 2019 | 58 | 2019 |
| Effect of phase countdown timers on queue discharge characteristics under heterogeneous traffic conditions A Sharma, L Vanajakshi, N Rao Transportation research record 2130 (1), 93-100, 2009 | 57 | 2009 |
| Short term prediction of traffic parameters using support vector machines technique PVV Theja, L Vanajakshi 2010 3rd International Conference on Emerging Trends in Engineering and …, 2010 | 55 | 2010 |
| Impact of signal timing information on safety and efficiency of signalized intersections A Sharma, L Vanajakshi, V Girish, MS Harshitha Journal of transportation engineering 138 (4), 467-478, 2012 | 54 | 2012 |
| Application of data mining techniques for traffic density estimation and prediction J Raj, H Bahuleyan, LD Vanajakshi Transportation Research Procedia 17, 321-330, 2016 | 52 | 2016 |
| Comparison of model based and machine learning approaches for bus arrival time prediction V Kumar, BA Kumar, LD Vanajakshi, SC Subramanian Transportation Research Board 93rd Annual MeetingTransportation Research Board, 2014 | 50 | 2014 |
