| Short-term prediction of traffic flow using a binary neural network VJ Hodge, R Krishnan, J Austin, J Polak, T Jackson Neural Computing and Applications 25 (7-8), 1639-1655, 2014 | 56 | 2014 |
| A computationally efficient two-stage method for short-term traffic prediction on urban roads F Guo, R Krishnan, J Polak Transportation planning and technology 36 (1), 62-75, 2013 | 44 | 2013 |
| Application of Bluetooth Technology for Mode-Specific Travel Time Estimation on Arterial Roads BN Araghi, LT Christensen, R Krishnan, H Lahrmann Proceedings from the Annual Transport Conference at Aalborg University 1 (1), 2012 | 35 | 2012 |
| Reliability of bluetooth technology for travel time estimation BN Araghi, J Hammershøj Olesen, R Krishnan, L Tørholm Christensen, ... Journal of Intelligent Transportation Systems 19 (3), 240-255, 2015 | 31 | 2015 |
| Accuracy of travel time estimation using Bluetooth technology: Case study Limfjord tunnel Aalborg BN Araghi, KS Pedersen, LT Christensen, R Krishnan, H Lahrmann International Journal of Intelligent Transportation Systems Research 13 (3 …, 2015 | 29 | 2015 |
| On the estimation of space-mean-speed from inductive loop detector data J Han, JW Polak, J Barria, R Krishnan Transportation planning and technology 33 (1), 91-104, 2010 | 28 | 2010 |
| Short-term traffic prediction under normal and incident conditions using singular spectrum analysis and the k-nearest neighbour method F Guo, R Krishnan, JW Polak IET Digital Library, 2012 | 27 | 2012 |
| Comparison of modelling approaches for short term traffic prediction under normal and abnormal conditions F Guo, JW Polak, R Krishnan 13th International IEEE Conference on Intelligent Transportation Systems …, 2010 | 26 | 2010 |
| Predictor fusion for short-term traffic forecasting F Guo, JW Polak, R Krishnan Transportation Research Part C 92 (2018), 90-100, 2018 | 19 | 2018 |
| Mode-specific travel time estimation using bluetooth technology B Namaki Araghi, R Krishnan, H Lahrmann Journal of Intelligent Transportation Systems 20 (3), 219-228, 2016 | 16 | 2016 |
| Short-term traffic prediction under normal and abnormal traffic conditions on urban roads F Guo, R Krishnan, JW Polak Transportation Research Board 91st Annual Meeting, 2012 | 15 | 2012 |
| Short-term travel time prediction: An overview of methods and recurring themes R Krishnan, J Polak Transportation Planning and Implementation Methodologies for Developing …, 2008 | 15 | 2008 |
| Travel time estimation and forecasting on urban roads R Krishnan PhD diss., Centre for Transport Studies, Imperial College London, 2008 | 14 | 2008 |
| A Deep Learning Approach for Traffic Incident Detection in Urban Networks L Zhu, F Guo, R Krishnan, JW Polak 21st IEEE International Conference on Intelligent Transportation Systems (ITSC), 2018 | 11 | 2018 |
| A computationally efficient method for online identification of traffic control intervention measures R Krishnan, VJ Hodge, J Austin, J Polak 42nd Annual UTSG Conference, 2010 | 11 | 2010 |
| A global comparison of ramp-metering algorithms optimising traffic distribution on motorways and arterials MC Esposito, JW Polak, R Krishnan, M Pleydell IET Digital Library, 2010 | 10 | 2010 |
| On identifying spatial traffic patterns using advanced pattern matching techniques R Krishnan, V Hodge, J Austin, JW Polak, TC Lee Transportation Research Board 89th Annual MeetingTransportation Research Board, 2010 | 10 | 2010 |
| Improving the accuracy of Bluetooth based travel time estimation using low-level sensor data BN Araghi, LT Christensen, R Krishnan, JH Olesen, H Lahrmann Transportation Research Record, 2013 | 9 | 2013 |
| The use of convolutional neural networks for traffic incident detection at a network level L Zhu, F Guo, R Krishnan, JW Polak Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018 | 8 | 2018 |
| Incident duration prediction for in-vehicle navigation systems J Hu, R Krishnan, M Bell | 8 | 2011 |
John PolakProfessor of Transport Demand, Imperial College LondonVerified email at imperial.ac.uk
