Topic · Traffic control and management
Most cited papers in Traffic control and management
What are the most cited papers in Traffic control and management?
The most cited paper in Traffic control and management is "Social force model for pedestrian dynamics" (Dirk Helbing, Péter Molnár, 1995), with 6,959 citations. Next come "Congested traffic states in empirical observations and microscopic simulations" (4,784) and "On kinematic waves II. A theory of traffic flow on long crowded roads" (4,671).
Showing 50 of 100 papers. Every paper with more than 724 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Social force model for pedestrian dynamics Dirk Helbing, Péter Molnár · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics | May 1995 | 6,959 |
| 2 | Congested traffic states in empirical observations and microscopic simulations Martin Treiber, Ansgar Hennecke, Dirk Helbing · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics | Aug 2000 | 4,784 |
| 3 | On kinematic waves II. A theory of traffic flow on long crowded roads Michael James Lighthill, Gerald Beresford Whitham · Proceedings of the Royal Society of London A Mathematical and Physical Sciences | 10 May 1955 | 4,671 |
| 4 | A cellular automaton model for freeway traffic Kai Nagel, Michael Schreckenberg · Journal de Physique I | Dec 1992 | 3,868 |
| 5 | Shock Waves on the Highway Paul I. Richards · Operations Research | Feb 1956 | 3,683 |
| 6 | Microscopic Traffic Simulation using SUMO Pablo Álvarez López, Evamarie Wießner, Michael Behrisch et al. | Nov 2018 | 3,310 |
| 7 | Traffic and related self-driven many-particle systems Dirk Helbing · Reviews of Modern Physics | 7 Dec 2001 | 3,294 |
| 8 | Dynamical model of traffic congestion and numerical simulation Masako Bando, Katsuya Hasebe, A. Nakayama et al. · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics | Feb 1995 | 3,052 |
| 9 | Traffic Flow Prediction With Big Data: A Deep Learning Approach Yisheng Lv, Yanjie Duan, Wenwen Kang et al. · IEEE Transactions on Intelligent Transportation Systems | 2014 | 3,012 |
| 10 | The cell transmission model: A dynamic representation of highway traffic consistent with the hydrodynamic theory Carlos F. Daganzo · Transportation Research Part B Methodological | Aug 1994 | 2,951 |
| 11 | A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles Brian A. Paden, Michal Čáp, Sze Zheng Yong et al. · IEEE Transactions on Intelligent Vehicles | Mar 2016 | 2,635 |
| 12 | A behavioural car-following model for computer simulation P G Gipps · Transportation Research Part B Methodological | Apr 1981 | 2,381 |
| 13 | Statistical physics of vehicular traffic and some related systems D Chowdhury · Physics Reports | May 2000 | 2,303 |
| 14 | Long short-term memory neural network for traffic speed prediction using remote microwave sensor data Xiaolei Ma, Zhimin Tao, Yinhai Wang et al. · Transportation Research Part C Emerging Technologies | 7 Apr 2015 | 2,221 |
| 15 | The cell transmission model, part II: Network traffic Carlos F. Daganzo · Transportation Research Part B Methodological | Apr 1995 | 1,979 |
| 16 | Recent Development and Applications of SUMO - Simulation of Urban MObility Daniel Krajzewicz, Jakob Erdmann, Michael Behrisch et al. · elib (German Aerospace Center) | 31 Dec 2012 | 1,977 |
| 17 | LSTM network: a deep learning approach for short‐term traffic forecast Zheng Zhao, Weihai Chen, Xingming Wu et al. · IET Intelligent Transport Systems | 12 Jan 2017 | 1,846 |
| 18 | Statistical Physics of Vehicular Traffic and Some Related Systems Debashish Chowdhury, Ludger Santen, Andreas Schadschneider | 2000 | 1,829 |
| 19 | Simulation of pedestrian dynamics using a two-dimensional cellular automaton Carsten Burstedde, Kai Klauck, Andreas Schadschneider et al. · Physica A Statistical Mechanics and its Applications | Jun 2001 | 1,783 |
| 20 | GMAN: A Graph Multi-Attention Network for Traffic Prediction Chuanpan Zheng, Xiaoliang Fan, Cheng Wang et al. · Proceedings of the AAAI Conference on Artificial Intelligence | 3 Apr 2020 | 1,714 |
| 21 | On kinematic waves I. Flood movement in long rivers Michael James Lighthill, Gerald Beresford Whitham · Proceedings of the Royal Society of London A Mathematical and Physical Sciences | 10 May 1955 | 1,645 |
| 22 | Full velocity difference model for a car-following theory Rui Jiang, Qing-Song Wu, Zuojin Zhu · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics | 22 Jun 2001 | 1,600 |
| 23 | Bidirectionally Coupled Network and Road Traffic Simulation for Improved IVC Analysis Christoph Sommer, Reinhard German, Falko Dressler · IEEE Transactions on Mobile Computing | 21 Jul 2010 | 1,557 |
| 24 | Autonomous driving in urban environments: Boss and the Urban Challenge Chris Urmson et al. · Journal of Field Robotics | 23 Jul 2008 | 1,535 |
| 25 | Nonlinear Follow-the-Leader Models of Traffic Flow Denos C. Gazis, Robert K Herman, Richard W. Rothery · Operations Research | Aug 1961 | 1,530 |
| 26 | The Impact of Cooperative Adaptive Cruise Control on Traffic-Flow Characteristics Bart van Arem, C.J.G. van Driel, Ruben Visser · IEEE Transactions on Intelligent Transportation Systems | Dec 2006 | 1,509 |
| 27 | Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions Dirk Helbing, Ľuboš Buzna, Anders F. Johansson et al. · Transportation Science | Feb 2005 | 1,489 |
| 28 | Traffic Dynamics: Studies in Car Following Robert E. Chandler, Robert K Herman, Elliott W. Montroll · Operations Research | Apr 1958 | 1,470 |
| 29 | Numerical Methods for Stochastic Control Problems in Continuous Time Harold J. Kushner · SIAM Journal on Control and Optimization | Sep 1990 | 1,457 |
| 30 | Using LSTM and GRU neural network methods for traffic flow prediction Rui Fu, Zuo‐Feng Zhang, Li Li | Nov 2016 | 1,439 |
| 31 | Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction Xiaolei Ma, Zhuang Dai, Zhengbing He et al. · Sensors | 10 Apr 2017 | 1,432 |
| 32 | Influence of connected and autonomous vehicles on traffic flow stability and throughput Alireza Talebpour, Hani S. Mahmassani · Transportation Research Part C Emerging Technologies | 27 Jul 2016 | 1,406 |
| 33 | General Lane-Changing Model MOBIL for Car-Following Models Arne Kesting, Martin Treiber, Dirk Helbing · Transportation Research Record Journal of the Transportation Research Board | 2007 | 1,360 |
| 34 | A Multiagent Approach to Autonomous Intersection Management Kurt Dresner, Peter Stone · Journal of Artificial Intelligence Research | 31 Mar 2008 | 1,330 |
| 35 | An Operational Analysis of Traffic Dynamics Louis A. Pipes · Journal of Applied Physics | Mar 1953 | 1,312 |
| 36 | Car-following: a historical review Mark Brackstone, Mike McDonald · Transportation Research Part F Traffic Psychology and Behaviour | Dec 1999 | 1,288 |
| 37 | Review of road traffic control strategies Markos Papageorgiou, C. Kiakaki, Vaya Dinopoulou et al. · Proceedings of the IEEE | 20 Nov 2003 | 1,249 |
| 38 | SUMO - Simulation of Urban MObility An Overview Michael Behrisch, Laura Bieker, Jakob Erdmann et al. · elib (German Aerospace Center) | 23 Oct 2011 | 1,204 |
| 39 | Short-term traffic forecasting: Where we are and where we’re going Eleni I. Vlahogianni, Matthew G. Karlaftis, John Golias · Transportation Research Part C Emerging Technologies | 4 Feb 2014 | 1,202 |
| 40 | Dynamics of crowd disasters: An empirical study Dirk Helbing, Anders F. Johansson, Habib Z. Al-Abideen · Physical Review E | 18 Apr 2007 | 1,185 |
| 41 | Generalized force model of traffic dynamics Dirk Helbing, Benno Tilch · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics | Jul 1998 | 1,181 |
| 42 | A model for the structure of lane-changing decisions P G Gipps · Transportation Research Part B Methodological | Oct 1986 | 1,168 |
| 43 | Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning Wenhao Huang, Guojie Song, Haikun Hong et al. · IEEE Transactions on Intelligent Transportation Systems | 10 Apr 2014 | 1,154 |
| 44 | Cooperative Adaptive Cruise Control in Real Traffic Situations Vicente Milanés, Steven E Shladover, John Spring et al. · IEEE Transactions on Intelligent Transportation Systems | 30 Aug 2013 | 1,142 |
| 45 | The Walking Behaviour of Pedestrian Social Groups and Its Impact on Crowd Dynamics Mehdi Moussaïd, Niriaska Perozo, Simon Garnier et al. · PLoS ONE | 7 Apr 2010 | 1,127 |
| 46 | A continuum theory for the flow of pedestrians Roger L. Hughes · Transportation Research Part B Methodological | Jul 2002 | 1,110 |
| 47 | Nonlinear Effects in the Dynamics of Car Following Gordon Frank Newell · Operations Research | Apr 1961 | 1,110 |
| 48 | Dynamic prediction of traffic volume through Kalman filtering theory Iwao Okutani, Yorgos J. Stephanedes · Transportation Research Part B Methodological | Feb 1984 | 1,106 |
| 49 | Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control Tianshu Chu, Jie Wang, Lara Codecà et al. · IEEE Transactions on Intelligent Transportation Systems | 15 Mar 2019 | 1,045 |
| 50 | Deep learning for short-term traffic flow prediction Nicholas G. Polson, Vadim Sokolov · Transportation Research Part C Emerging Technologies | 17 Mar 2017 | 1,031 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.