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Associate Professor Dong Ngoduy

Contact

Department: Civil and Natural Resources Engineering

Direct Dial: +64 3 3695119

Office: Civil & Natural Resources Engineering E406

Languages: English, Vietnamese

A model should be as simple as possible but not simpler ...
About
Research / Creative works
Supervision
Networks
Projects
Methods & Equipment

Fields of Research

  • Traffic Flow Theory and Simulation, Data fusion
  • Intelligent Transport Systems, Connected and Autonomous Vehicles
  • Transport Network Optimization
  • AI and machine learning for transportation
  • Google scholar: https://scholar.google.com/citations?user=2jyCTg0AAAAJ

Researcher Summary

My research interests include (but are not limited to) the understanding of how traffic flow systems operate given complex interactions between different vehicle types (buses, trucks, cars), applications of AI and machine learning to predict and monitor traffic conditions in short-term, and the investigation of the fundamental changes in dynamics of our future transport systems where a significant proportion of driverless cars are available via the development of connected and autonomous systems. Besides, I am also participating in the following professional organizations in the field:
1) EPSRC (the UK research council) peer review college: member since 2012; 2) Transportmetrica A: associate editor since 2016; 3)Transportmetrica B: associate editor since 2013; 4) Mathematical Problems in Engineering:  editor since 2012; 5) The Open Transportation Journal: editorial board member since 2016; 6) The Open Civil Engineering Journal: editorial board member since 2017; 7) Sustainable Transportation: editorial board member since 2019; 8) Energies, Section Editor for 'Electric Vehicles'

Subject Area: Disciplines

  • Engineering and Technology: Civil; Transportation

Prizes and Awards

Displaying all items.
    Fellowship
  • EPSRC (UK Research Council) 5-year Career Acceleration Fellowship ($900,000) ( 2011 - 2016)
  • University of Leeds 4-year early career research fellowship ( 2006 - 2010)
  • University of California LA Travel research fellowship ($6,000) ( 2015 )
  • Queensland University of Technology Travel research fellowship ($80,000) ( 2013 - 2016)
  • Swinburne University of Technology visiting fellowship ($11,000) ( 2016 )
  • Distinction
  • 3-year EU project ( 2016 - 2021)
  • Noisy optimization methods in transportation (~$150,000) ( 2010 - 2011)
  • VISION (~$2,000,000) ( 2018 - 2011)

Research/Scholarly/Creative Works

Journal Articles
  • Abudayyeh D., Nicholson A. and Ngoduy D. (2021) Traffic signal optimisation in disrupted networks, to improve resilience and sustainability. Travel Behaviour and Society 22: 117-128. http://dx.doi.org/10.1016/j.tbs.2020.08.005.
  • Tran CQ., Ngoduy D., Keyvan-Ekbatani M. and Watling D. (2021) A user equilibrium-based fast-charging location model considering heterogeneous vehicles in urban networks. Transportmetrica A: Transport Science 17(4): 439-461. http://dx.doi.org/10.1080/23249935.2020.1785579.
  • Ahmed A., Outay F., Zaidi SOR., Adnan M. and Ngoduy D. (2020) Examining queue-jumping phenomenon in heterogeneous traffic stream at signalized intersection using UAV-based data. Personal and Ubiquitous Computing http://dx.doi.org/10.1007/s00779-020-01434-y.
  • Hoang HN., Vu HL., Panda M., Ngoduy D. and Lo H. (2020) An information-based system optimal dynamic traffic assignment for connected autonomous vehicles. IEEE Transactions on Intelligent Transportation Systems.
  • Johari M., Keyvan-Ekbatani M. and Ngoduy D. (2020) Impacts of bus stop location and berth number on urban network traffic performance. IET Intelligent Transport Systems http://dx.doi.org/10.1049/iet-its.2019.0860.
  • Li T., Hui F., Zhao X., Liu C. and Ngoduy D. (2020) Modelling heterogeneous traffic dynamics by considering the influence of V2V safety messages. IET Intelligent Transport Systems 14(4): 220-227. http://dx.doi.org/10.1049/iet-its.2019.0361.
  • Li T., Ngoduy D., Hui F. and Zhao X. (2020) A car-following model to access the impact of V2V messages on traffic dynamics. Transportmetrica B: Transport Dynamics 8(1): 150-165. http://dx.doi.org/10.1080/21680566.2020.1728591.
  • Ngoduy D. (2020) A class of stochastic higher order continuum traffic models and its stochastic linear stability conditions. Transportation Research Part B: Methodological.
  • Ngoduy D. (2020) On the stability of a generic second order continuum traffic model with multiple time delays. Communications in Nonlinear Science and Numerical Simulation.
  • Ngoduy D. and Li T. (2020) Hopf bifurcation structure of a generic car-following model with multiple time delays. Transportmetrica A: Transport Science.
  • Ngoduy D., Hoang HN., Vu HL. and Watling D. (2020) Multi-class dynamic system optimum solution for mixed traffic of human-driven and automated vehicles considering physical queues. Transportation Research Part B: Methodological.
  • Ngoduy D., Keyvan-Ekbatani M. and Treiber M. (2020) Editorial notes: Special issue in connected and automated traffic systems. Transportmetrica A: Transport Science http://dx.doi.org/10.1080/23249935.2020.1776788.
  • Phan TT., Le L. and Ngoduy D. (2020) A Cooperative Lane-Changing Model for Autonomous Vehicles at A Lane-Drop Bottleneck on Multi-Lane Freeways. IEEE Transactions on Intelligent Transportation Systems.
  • Phan TT., Le LB. and Ngoduy D. (2020) A Cooperative Space Distribution Method for Autonomous Vehicles at A Lane-Drop Bottleneck on Multi-Lane Freeways. IEEE Transactions on Intelligent Transportation Systems http://dx.doi.org/10.1109/TITS.2020.3040431.
  • Phan TT., Ngoduy D. and Le L. (2020) Space distribution method for autonomous vehicles at a multi-lane signalized intersection. IEEE Transactions on Intelligent Transportation Systems in press http://dx.doi.org/10.1109/TITS.2019.2954201.
  • Ahmed A., Mehdi MR., Ngoduy D. and Abbas M. (2019) Evaluation of accuracy of advanced traveler information and commuter behavior in a developing country. Travel Behaviour and Society 15: 63-73. http://dx.doi.org/10.1016/j.tbs.2018.12.003.
  • Ahmed A., Naqvi S., Watling D. and Ngoduy D. (2019) Real-time dynamic traffic control based on traffic state estimation. Transportation Research Record 2673(5): 584-595. http://dx.doi.org/10.1177/0361198119838842.
  • Jia D., Ngoduy D. and Vu H. (2019) A multiclass microscopic model for heterogeneous platoon with vehicle-to-vehicle communication. Transportmetrica B: Transport Dynamics 7(1): 448-472. http://dx.doi.org/10.1080/21680566.2018.1434021.
  • Kieu LM., Ngoduy D., Malleson N. and Chung E. (2019) Stochastic schedule-following simulation model of bus route. Transportmetrica B: Transport Dynamics 7(1): 1588-1610. http://dx.doi.org/10.1080/21680566.2019.1670118.
  • Lee S., Ngoduy D. and Keyvan-Ekbatani M. (2019) Integrated deep learning and stochastic car-following model for traffic dynamics on multi-lane freeways. Transportation Research Part C: Emerging Technologies 106: 360-377. http://dx.doi.org/10.1016/j.trc.2019.07.023.
  • Lee S., Xie K., Ngoduy D. and Keyvan-Ekbatani M. (2019) An advanced deep learning approach to real-time estimation of lane-based queue lengths at a signalized junction. Transportation Research Part C: Emerging Technologies 109: 117-136. http://dx.doi.org/10.1016/j.trc.2019.10.011.
  • Ngoduy D., Lee S., Treiber M., Keyvan-Ekbatani M. and Vu HL. (2019) Langevin method for a continuous stochastic car-following model and its stability conditions. Transportation Research Part C: Emerging Technologies 105: 599-610. http://dx.doi.org/10.1016/j.trc.2019.06.005.
  • Panda M., Ngoduy D. and Vu HL. (2019) Multiple model stochastic filtering for traffic density estimation on urban arterials. Transportation Research Part B: Methodological 126: 280-306. http://dx.doi.org/10.1016/j.trb.2019.06.009.
  • Zhao W., Liu R. and Ngoduy D. (2019) A bilevel programming model for autonomous intersection control and trajectory planning. Transportmetrica A: Transport Science http://dx.doi.org/10.1080/23249935.2018.1563921.
  • Abudayyeh D., Ngoduy D. and Nicholson AJ. (2018) Traffic Signal Optimisation in Disrupted Networks with Re-Routing. Transportation Research Procedia 34: 195-202. http://dx.doi.org/10.1016/j.trpro.2018.11.032.
  • Islam T., Vu HL., Panda M. and Ngoduy D. (2018) A study of realistic dynamic traffic assignment with signal control, time-scale, and emission. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations 22(5): 446-461. http://dx.doi.org/10.1080/15472450.2017.1413981.
  • Lee S., Xie K., Ngoduy D., Keyvan-Ekbatani M. and Yang H. (2018) A lane-based predictive model of downstream arrival rates in a queue estimation model using a long short-term memory network. Transportation Research Procedia 34: 163-170. http://dx.doi.org/10.1016/j.trpro.2018.11.028.
  • Zhao W., Ngoduy D., Shepherd S., Liu R. and Papageorgiou M. (2018) A platoon based cooperative eco-driving model for mixed automated and human-driven vehicles at a signalized intersection. Transportation Research Part C: Emerging Technologies 95: 802-821. http://dx.doi.org/10.1016/j.trc.2018.05.025.
  • Liu B., Jia D., Lu K., Ngoduy D., Wang J. and Wu L. (2017) A Joint Control-Communication Design for Reliable Vehicle Platooning in Hybrid Traffic. IEEE Transactions on Vehicular Technology 66(10): 9394-9409. http://dx.doi.org/10.1109/TVT.2017.2702650.
  • Ngoduy D. and Jia D. (2017) Multi anticipative bidirectional macroscopic traffic model considering cooperative driving strategy. Transportmetrica B 5(1): 100-114. http://dx.doi.org/10.1080/21680566.2016.1142401.
  • Zhao W. and Ngoduy D. (2017) A platoon based eco-driving model for cooperative traffic flow at an isolated signalised intersection. Transportation Research Part C: Emerging Technologies.
  • Ahmed A., Ngoduy D. and Watling D. (2016) Prediction of traveller information and route choice based on real-time estimated traffic state. Transportmetrica B 4(1): 23-47. http://dx.doi.org/10.1080/21680566.2015.1052110.
  • Chen J., Liu R., Ngoduy D. and Shi Z. (2016) A new multi-anticipative car-following model with consideration of the desired following distance. Nonlinear Dynamics 85(4): 2705-2717. http://dx.doi.org/10.1007/s11071-016-2856-4.
  • Jia D. and Ngoduy D. (2016) Enhanced cooperative car-following traffic model with the combination of V2V and V2I communication. Transportation Research Part B: Methodological 90: 172-191. http://dx.doi.org/10.1016/j.trb.2016.03.008.
  • Jia D. and Ngoduy D. (2016) Platoon based cooperative driving model with consideration of realistic inter-vehicle communication. Transportation Research Part C: Emerging Technologies 68: 245-264. http://dx.doi.org/10.1016/j.trc.2016.04.008.
  • Nantes A., Ngoduy D., Bhaskar A., Miska M. and Chung E. (2016) Real-time traffic state estimation in urban corridors from heterogeneous data. Transportation Research Part C: Emerging Technologies 66: 99-118. http://dx.doi.org/10.1016/j.trc.2015.07.005.
  • Ngoduy D., Hoang NH., Vu HL. and Watling D. (2016) Optimal queue placement in dynamic system optimum solutions for single origin-destination traffic networks. Transportation Research Part B: Methodological 92: 148-169. http://dx.doi.org/10.1016/j.trb.2015.11.011.
  • Zhong RX., Fu KY., Sumalee A., Ngoduy D. and Lam WHK. (2016) A cross-entropy method and probabilistic sensitivity analysis framework for calibrating microscopic traffic models. Transportation Research Part C: Emerging Technologies 63: 147-169. http://dx.doi.org/10.1016/j.trc.2015.12.006.
  • Nantes A., Ngoduy D., Miska M. and Chung E. (2015) Probabilistic travel time progression and its application to automatic vehicle identification data. Transportation Research Part B: Methodological 81(P1): 131-145. http://dx.doi.org/10.1016/j.trb.2015.09.001.
  • Ngoduy D. (2015) Effect of the car-following combinations on the instability of heterogeneous traffic flow. Transportmetrica B 3(1): 44-58. http://dx.doi.org/10.1080/21680566.2014.960503.
  • Ngoduy D. (2015) Linear stability of a generalized multi-anticipative car following model with time delays. Communications in Nonlinear Science and Numerical Simulation 22(1-3): 420-426. http://dx.doi.org/10.1016/j.cnsns.2014.08.019.
  • Balijepalli NC., Ngoduy D. and Watling DP. (2014) The two-regime transmission model for network loading in dynamic traffic assignment problems. Transportmetrica A: Transport Science 10(7): 563-584. http://dx.doi.org/10.1080/18128602.2012.751680.
  • Ngoduy D. (2014) Generalized macroscopic traffic model with time delay. Nonlinear Dynamics 77(1-2): 289-296. http://dx.doi.org/10.1007/s11071-014-1293-5.
  • Ngoduy D. and Wilson RE. (2014) Multianticipative nonlocal macroscopic traffic model. Computer-Aided Civil and Infrastructure Engineering 29(4): 248-263. http://dx.doi.org/10.1111/mice.12035.
  • Maher M., Liu R. and Ngoduy D. (2013) Signal optimisation using the cross entropy method. Transportation Research Part C: Emerging Technologies 27: 76-88. http://dx.doi.org/10.1016/j.trc.2011.05.018.
  • Ngoduy D. (2013) Analytical studies on the instabilities of heterogeneous intelligent traffic flow. Communications in Nonlinear Science and Numerical Simulation 18(10): 2699-2706. http://dx.doi.org/10.1016/j.cnsns.2013.02.018.
  • Ngoduy D. (2013) Instability of cooperative adaptive cruise control traffic flow: A macroscopic approach. Communications in Nonlinear Science and Numerical Simulation 18(10): 2838-2851. http://dx.doi.org/10.1016/j.cnsns.2013.02.007.
  • Ngoduy D. (2013) Platoon-based macroscopic model for intelligent traffic flow. Transportmetrica B 1(2): 153-169. http://dx.doi.org/10.1080/21680566.2013.826150.
  • Ngoduy D., Watling D., Timms P. and Tight M. (2013) Dynamic Bayesian Belief Network to Model the Development of Walking and Cycling Schemes. International Journal of Sustainable Transportation 7(5): 366-388. http://dx.doi.org/10.1080/15568318.2012.674627.
  • Ngoduy D. (2012) Application of gas-kinetic theory to modelling mixed traffic of manual and ACC vehicles. Transportmetrica A: Transport Science 8(1): 43-60. http://dx.doi.org/10.1080/18128600903578843.
  • Ngoduy D. (2012) Effect of driver behaviours on the formation and dissipation of traffic flow instabilities. Nonlinear Dynamics 69(3): 969-975. http://dx.doi.org/10.1007/s11071-011-0318-6.
  • Ngoduy D. and Maher MJ. (2012) Calibration of second order traffic models using continuous cross entropy method. Transportation Research Part C: Emerging Technologies 24: 102-121. http://dx.doi.org/10.1016/j.trc.2012.02.007.
  • Ngoduy D. (2011) Kernel Smoothing Method Applicable to the Dynamic Calibration of Traffic Flow Models. Computer-Aided Civil and Infrastructure Engineering 26(6): 420-432. http://dx.doi.org/10.1111/j.1467-8667.2010.00695.x.
  • Ngoduy D. (2011) Low-rank unscented Kalman filter for freeway traffic estimation problems. Transportation Research Record (2260): 113-122. http://dx.doi.org/10.3141/2260-13.
  • Ngoduy D. (2011) Multiclass first-order traffic model using stochastic fundamental diagrams. Transportmetrica 7(2): 111-125. http://dx.doi.org/10.1080/18128600903251334.
  • Tight M., Timms P., Banister D., Bowmaker J., Copas J., Day A., Drinkwater D., Givoni M., Gühnemann A. and Lawler M. (2011) Visions for a walking and cycling focussed urban transport system. Journal of Transport Geography 19(6): 1580-1589. http://dx.doi.org/10.1016/j.jtrangeo.2011.03.011.
  • Ngoduy D. (2010) Multiclass first-order modelling of traffic networks using discontinuous flow-density relationships. Transportmetrica 6(2): 121-141. http://dx.doi.org/10.1080/18128600902857925.
  • Ngoduy D. and Sumalee A. (2010) Adaptive estimation of noise covariance matrices in unscented Kalman filter for multiclass traffic flow model. Transportation Research Record (2188): 119-130. http://dx.doi.org/10.3141/2188-13.
  • Ngoduy D. (2009) Macroscopic effects of multianticipative driving behavior on traffic flow characteristics. Transportation Research Record (2124): 103-112. http://dx.doi.org/10.3141/2124-10.
  • Ngoduy D. and Tampere C. (2009) Macroscopic effects of reaction time on traffic flow characteristics. Physica Scripta 80(2) http://dx.doi.org/10.1088/0031-8949/80/02/025802.
  • Ngoduy D., Hoogendoorn SP. and Liu R. (2009) Continuum modeling of cooperative traffic flow dynamics. Physica A: Statistical Mechanics and its Applications 388(13): 2705-2716. http://dx.doi.org/10.1016/j.physa.2009.02.040.
  • Ngoduy D. (2008) Applicable filtering framework for online multiclass freeway network estimation. Physica A: Statistical Mechanics and its Applications 387(2-3): 599-616. http://dx.doi.org/10.1016/j.physa.2007.10.013.
  • Ngoduy D. (2008) Operational effects of acceleration lane on main traffic flow at discontinuities. Transportmetrica 4(3): 195-207. http://dx.doi.org/10.1080/18128600808685687.
  • Ngoduy D. and Liu R. (2007) Multiclass first-order simulation model to explain non-linear traffic phenomena. Physica A: Statistical Mechanics and its Applications 385(2): 667-682. http://dx.doi.org/10.1016/j.physa.2007.07.041.
  • Ngoduy D. (2006) Derivation of continuum traffic model for weaving sections on freeways. Transportmetrica 2(3): 199-222. http://dx.doi.org/10.1080/18128600608685662.
  • Ngoduy D., Hoogendoorn S. and Van Zuylen H. (2006) Part 2: Car-Following Models: Continuum Traffic Model for Freeway with On- and Off-Ramp to Explain Different Traffic-Congested States. Transportation Research Record: Journal of the Transportation Research Board 1965: 91-102. http://dx.doi.org/10.3141/1965-10.
  • Ngoduy D., Hoogendoorn SP. and Van Lint JWC. (2005) Modeling traffic flow operation in multilane and multiclass urban networks. Transportation Research Record (1923): 73-81. http://dx.doi.org/10.3141/1923-08.
  • Ngoduy D., Hoogendoorn SP. and Van Zuylen HJ. (2004) Comparison of numerical schemes for macroscopic traffic flow models. Transportation Research Record (1876): 52-61.
Conference Contributions - Published
  • Tran C., Ngoduy D., Keyvan-Ekbatani M. and Watling D.. (2020) Bi-Level Optimization for Locating Fast-Charging Stations in Large-Scale Urban Networks. In 2020 IEEE Forum on Integrated and Sustainable Transportation Systems http://dx.doi.org/10.1109/FISTS46898.2020.9264894.
  • Johari M., Keyvan-Ekbatani M., Ngoduy D. and Badia H.. (2019) Effects of Near-Side and Far-Side Bus Stops on NFD of Bi-Modal Urban Network. In IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSCIEEE. http://dx.doi.org/10.1109/ITSC.2019.8917127.
  • Li T., Hui F., Zhao X. and Ngoduy D.. (2019) Effects of DSRC-based safety messages on heterogeneous traffic flow stability. In Zhang L; Jianming M; Pan L; Guangjun Z (Eds). : 2199-2210. http://dx.doi.org/10.1061/9780784482292.192.
  • Trinh XS., Ngoduy D. and Keyvan-Ekbatani M.. (2019) A comparative study on filtering methods for online freeway traffic estimation using heterogeneous data. In IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSCIEEE. http://dx.doi.org/10.1109/ITSC.2019.8917363.
  • Trinh XS., Ngoduy D., Keyvan-Ekbatani M. and Robertson B.. (2019) A Novel Traffic Estimation Approach Using Multi-Source Data on Motorways. In.
  • Abudayyeh D., Nicholson A. and Ngoduy D.. (2018) Traffic signal optimisation in disrupted networks using a semi-dynamic approach. In ATRF 2018 - Australasian Transport Research Forum 2018, Proceedings.
  • Abudayyeh D., Nicholson A. and Ngoduy D.. (2018) Traffic signal optimisation in disrupted networks using a semi-dynamic approach. In ATRF 2018 - Australasian Transport Research Forum 2018, Proceedings.
  • Zhao W., Liu R. and Ngoduy D.. (2018) A model for autonomous intersection control and trajectory planning using a bi-level programming method. In.
  • Ahmed A., Watling D. and Ngoduy D.. (2017) Optimization of traffic signal control based on real-time estimated traffic state. In.
  • Hoang NH., Vu HL., Smith M. and Ngoduy D.. (2016) Convex signal control model in a single-destination dynamic traffic assignment. In IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC: 790-794. http://dx.doi.org/10.1109/ITSC.2016.7795645.
  • Ngoduy D. and Kieu LM, Vu HL.. (2016) Calibration of stochastic car-following traffic models using cross entropy method. In.
  • Rong R.X., Fu K.Y., Sumalee A., Ngoduy D. and Lam, W.H.K.. (2016) Calibration of microscopic traffic model: cross entropy method and probability sensitivity analysis. In.
  • Islam T., Vu HL., Panda M., Hoang N. and Ngoduy D.. (2015) The accuracy of cell-based dynamic traffic assignment: Impact of signal control on system optimality. In Proceedings of the 20th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2015: Urban Transport Analytics: 355-362.
  • Ahmed A, Watling D. and Ngoduy D.. (2014) Modelling day-to-day travellers’ route choice using real-time estimated traffic state with time-varying traffic demand. In.
  • Ahmed A., Watling D. and Ngoduy D.. (2014) Significance of sensor location in real-time traffic state estimation. In Procedia Engineering 77: 114-122. http://dx.doi.org/10.1016/j.proeng.2014.07.012.
  • Ahmeh A., Ngoduy D. and Watling D.. (2014) Real-time urban traffic management based on estimated traffic state. In.
  • Ameh A., Watling D. and Ngoduy D.. (2014) Day to day variation in level of trust in advanced traveller information and the impact of improved methods for estimating traffic states. In.
  • Ngoduy D., Nantes A., Miska M. and Chung E.. (2014) Link based Traffic State Estimation from Partial Bluetooth and Taxi data. In.
  • Ngoduy D.. (2014) Traffic State Estimation from loop detector and partial Bluetooth data using information filter technique. In.
  • Nantes A., Ngoduy D., Miska M. and Chung E.. (2013) Traffic state estimation from partial bluetooth and volume observations: Case study in the brisbane metropolitan area. In Proceedings of the 18th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2013 - Travel Behaviour and Society: 161-170.
  • Ngoduy D.. (2013) A platoon based macroscopic traffic model for intelligent vehicles.. In.
  • Ngoduy D.. (2013) Derivation of a multi-anticipative traffic mode. In.
  • Balijepalli NC., Ngoduy D. and Watling D.. (2011) The Two-regime Transmission Model Applicable for Dynamic Network Loading Model. In.
  • Ngoduy D. and Maher M.. (2011) Cross entropy method for a deterministic optimal signalization in urban network. In.
  • Ngoduy D.. (2011) Low rank unscented Kalman filter for freeway traffic estimation problems. In.
  • Ngoduy D.. (2011) MODEL BASED ESTIMATION OF FREEWAY TRAFFIC FLOW FROM MULTIPLE DATA SOURCES. In TRANSPORT DYNAMICS: 19-26.
  • Ngoduy D.. (2011) Real-time traffic estimation from multiple data sources. In.
  • Ngoduy D.. (2011) Unscented Kalman Filter for freeway traffic state estimation using multiple data sources. In.
  • Maher M., Liu R. and Ngoduy D.. (2010) Signal optimization using cross entropy method. In.
  • Ngoduy D. and Sumalee A.. (2010) Adaptive estimation of noise covariance matrices in unscented Kalman filter algorithm for a multi-class freeway traffic network model. In.
  • Ngoduy D., Watling D, Timms P. and Tight MR.. (2010) Dynamic Bayesian Belief Network for the Development of Walking and Cycling Schemes. In.
  • Ngoduy D.. (2010) Wave propagation numerical solution for higher order macroscopic traffic model in the presence of on and off ramps. In.
  • 77. Balijepalli NC., Ngoduy D. and Watling D.. (2009) Dynamic traffic assignment with information provision. In.
  • Ngoduy D.. (2009) Macroscopic effects of multi-anticipative driving behavior on traffic flow characteristics. In.
  • Ngoduy D.. (2009) Phase diagram of traffic states in the presence of adaptive cruise control vehicles. In.
  • Fiorello D, Martino A., Bonsall P, Shires J. and Ngoduy D.. (2008) Differentiated road tolls: evidence from modelling studies in Italy and the UK. In.
  • Ngoduy D. and Hoogendoorn SP.. (2008) Multiclass LWR model with spatially discontinuous flow-density relationships. In.
  • Ngoduy D. and Zuurbier FS, Hoogendoorn SP.. (2007) Fast and Reliable Numerical Solution for Multi-class LWR Traffic Flow Model. In.
  • Ngoduy D.. (2007) Real-time multiclass traffic flow modelling- English M25 freeway case study. In.
  • Ngoduy D.. (2007) Shock-wave based simulation model for heterogeneous congested traffic network. In.
  • Ngoduy D., Hoogendoorn SP. and Zuylen HJ.. (2006) Continuum Traffic Model or Freeway with On-and Off-ramp to Explain Different Traffic Congested States. In.
  • Ngoduy D., Hoogendoorn SP. and Zuylen HJ.. (2006) New Numerical Solution for Multiclass LWR Traffic Flow Model. In.
  • Ngoduy D., Hoogendoorn SP. and van Lint JWC.. (2005) Modeling Traffic Flow Operation in Multilane and Multiclass Urban Networks. In.
  • Ngoduy D.. (2005) Continuum Traffic Model for Weaving Sections on Freeways. In.
  • Ngoduy D.. (2005) DEIVATION OF CONTINUUM TRAFFIC MODEL FOR WEAVING SECTIONS ON FREEWAYS. In TRANSPORTATION AND THE ECONOMY: 328-337.
  • Ngoduy D., Hoogendoorn SP. and Zuylen HJ.. (2004) Macroscopic Traffic Flow Modelling of Weaving Section on Freeways. In.
  • Ngoduy D., Hoogendoorn SP. and Zuylen HJ.. (2004) Modeling and Simulation of Multilane and Multi-class Traffic Flow at On- and Off-ramp. In.
  • Ngoduy D., Hoogendoorn SP. and Zuylen HJ.. (2004) Multi-class Traffic Flow Theory for Modeling of Multilane Motorway Networks. In.
  • Ngoduy D. and Hegyi A.. (2003) Suppressing Shock Wave on the A1 in the Netherlands- Model Calibration and Model Predictive Control. In.
  • Ngoduy D. and Hoogendoorn SP.. (2003) An automated calmration procedure for macroscopic traffic flow models. In IFAC Proceedings Volumes (IFAC-PapersOnline) 36(14): 263-268. http://dx.doi.org/10.1016/S1474-6670(17)32430-8.
  • Ngoduy D. and Hoogendoorn SP.. (2003) Positively conservative scheme for macroscopic traffic flow models. In IFAC Proceedings Volumes (IFAC-PapersOnline) 36(14): 257-262. http://dx.doi.org/10.1016/S1474-6670(17)32429-1.
  • Ngoduy D., Hoogendoorn S. and Zuylen HJ.. (2003) Positively Conservative Numerical Scheme for Macroscopic Traffic Models. In.
  • Ngoduy D., Hoogendoorn SP. and Zuylen HJ.. (2003) An Automated Calibration Procedure for Traffic Flow Models. In.
  • Ngoduy D., Hoogendoorn SP. and Zuylen HJ.. (2003) Comparison of Numerical Schemes for Macroscopic Traffic Flow Models. In.
Conference Contributions - Other
  • Lee S., Ngoduy D. and Keyvan-Ekbatani M. (2017) Lane-changing Manoeuvres in a Stochastic Continuous Car-following Model: a Langevin Approach. 22nd International Conference of the Hong Kong Society for Transportation Studies, 9 Dec 2017.

Student Supervision

Displaying all items.
    Current
  • PhD - Guo H: Lane changing patterns on freeways using connected vehicle data
  • PhD - Jiang S: AI based traffic estimation problems in urban networks from multi-sensor data
  • PhD - Johari Foroushani M: Multi-modal macroscopic fundamental diagram in urban networks
  • PhD - Phan T: Trajectory planning method for optimal operations of AVs on multi-lane traffic environemnt
  • PhD - Tenlong L: Car-following modelling under connected environment
  • PhD - Thong N: Dynamic Urban Network Design under connected environment
  • PhD - Tran CQ: Network Design Problems considering EVs operations
  • PhD - Trinh XS: Big Data analytics for urban traffic operations
  • Completed
  • PhD - Abudayyeh D: Network optimization under disruptions
  • PhD - Ahmed A: Kalman filter based en-routing problems in urban networks (2015)
  • PhD - Zhao W: Intersection control using V2X communication (2019)

Editorial Work

Displaying all items.
  • Transportmetrica A: Transport Science Associate Editor ( 2016 - 2021)
  • Transportmetrica B: Transport Dynamics Associate Editor ( 2013 - 2021)
  • EPSRC Peer Review College Editorial Board Member ( 2012 - 2021)
  • Transportmetrica A: Transport Science Guest Editor ( 2017 - 2021)
  • Sustainability Editorial Board Member ( 2019 - 2021)
  • Mathematical Problems in Engineering Editor ( 2012 - 2021)
  • Open Transportation Journal Editorial Advisory Board Member ( 2016 - 2021)
  • Open Civil Engineering Journal Editorial Advisory Board Member ( 2017 - 2021)

Review and Refereeing

Displaying all items.
    Journal reviewing / refereeing
  • IEEE Transactions on Intelligent Transportation Systems ( 2011 - 2021)
  • Physical Review E - Statistical, Nonlinear, and Soft Matter Physics ( 2009 - 2021)
  • Physics Letters, Section A: General, Atomic and Solid State Physics ( 2010 - 2021)
  • Transportation Research Part C: Emerging Technologies ( 2009 - 2021)
  • Transportation Research, Series B: Methodological ( 2010 - 2021)
  • Transportation Science ( 2012 - 2021)

Future Research

  • Modelling the interactions between conected, autonomous and convetional vehicles in traffic flow
  • Building up a real-time traffic management system using emering data: Bluetooth, GPS, mobile phones, etc
  • MFD for network optimization
  • Stochastic traffic flow modelling in multilane freeways

Key Methodologies

  • Mathematical progamming, optimization, Matlab, Python
  • Connected Traffic Systems Lab (E18)
  • Software: AIMSUN, TRANSYT, SATURN, and others: CPLEX
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