| Travel time estimation for urban road networks using low frequency probe vehicle data E Jenelius, M Rahmani, HN Koutsopoulos Technical report, Div. of Traffic and Logistics, KTH Royal Institute of …, 2012 | 528 | 2012 |
| Non-parametric estimation of route travel time distributions from low-frequency floating car data M Rahmani, E Jenelius, HN Koutsopoulos Transportation Research Part C: Emerging Technologies 58, 343-362, 2015 | 188 | 2015 |
| Path inference from sparse floating car data for urban networks M Rahmani, HN Koutsopoulos Transportation Research Part C: Emerging Technologies 30, 41-54, 2013 | 163 | 2013 |
| Route Travel Time Estimation Using Low-Frequency Floating Car Data M Rahmani, E Jenelius, HN Koutsopoulos Intelligent Transportation Systems-(ITSC), 2013 16th International IEEE …, 2013 | 91 | 2013 |
| Travel Time Estimation from Sparse Floating Car Data with Consistent Path Inference: A Fixed Point Approach M Rahmani, H Koutsopoulos, E Jenelius | 79 | 2016 |
| Requirements and potential of GPS-based floating car data for traffic management: Stockholm case study M Rahmani, HN Koutsopoulos, A Ranganathan 13th international IEEE conference on intelligent transportation systems …, 2010 | 66 | 2010 |
| Floating car and camera data fusion for non-parametric route travel time estimation M Rahmani, E Jenelius, H N. Koutsopoulos Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International …, 2014 | 40 | 2014 |
| Real-time traffic information management using stream computing A Biem, E Bouillet, H Feng, A Ranganathan, A Riabov, O Verscheure, ... IEEE Data Engineering Bulletin 33 (2), 64-68, 2010 | 39 | 2010 |
| Path inference of low-frequency GPS probes for urban networks M Rahmani, HN Koutsopoulos 2012 15th International IEEE Conference on Intelligent Transportation …, 2012 | 25 | 2012 |
| Mobile Millennium Stockholm A Allström, J Archer, A Bayen, S Blandin, J Butler, D Gundlegård, ... 2nd International Conference on Models and Technologies for Intelligent …, 2011 | 22 | 2011 |
| A latent-class adaptive routing choice model in stochastic time-dependent networks J Ding-Mastera, S Gao, E Jenelius, M Rahmani, M Ben-Akiva Transportation Research Part B: Methodological 124, 1-17, 2019 | 18 | 2019 |
| Routing policy choice set generation in stochastic time-dependent networks: Case studies for Stockholm, Sweden, and Singapore J Ding, S Gao, E Jenelius, M Rahmani, H Huang, L Ma, F Pereira, ... Transportation Research Record 2466 (1), 76-86, 2014 | 18 | 2014 |
| Travel time estimation for urban road networks using low frequency GPS probes E Jenelius, M Rahmani, H Koutsopoulos Transportation Research Board 2012 Annual Meeting, 2012 | 9 | 2012 |
| Path inference of sparse gps probes for urban networks: Methods and applications M Rahmani KTH Royal Institute of Technology, 2012 | 8 | 2012 |
| Particle swarm optimization of artificial neural networks for autonomous robots M Rahmani Chalmers University of Technology, 2008 | 7 | 2008 |
| Latent-class routing policy choice model with revealed-preference data J Ding, S Gao, E Jenelius, M Rahmani, FC Pereira, M Ben-Akiva Transportation Research Board 94th Annual MeetingTransportation Research Board, 2015 | 3 | 2015 |
| Urban Travel Time Estimation from Sparse GPS Data: An Efficient and Scalable Approach M Rahmani KTH Royal Institute of Technology, 2015 | 2 | 2015 |
| The traffic impacts of tunnel closures: Evidence from sensors and Google Traffic Statistics A Tympakianaki, M Rahmani, HN Koutsopoulos, E Jenelius Transportforum, Linköping, Sweden, 12-13 January 2016, 2016 | | 2016 |
| Trängselindex från kombinerade trafikdata E Jenelius, M Rahmani, HN Koutsopoulos Transportforum, Linköping, Sweden, 8-9 January 2015, 2015 | | 2015 |
| Restidsfördelningar på rutter från floating car-data E Jenelius, M Rahmani, HN Koutsopoulos Transportforum, Linköping, Sweden, 8-9 January 2014, 2014 | | 2014 |
Haris N KoutsopoulosNortheastern UniversityEmail confirmado em neu.edu
