Dong Ngoduy

ORCID: 0000-0002-0446-5636
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About
Contact & Profiles
Research Areas
  • Traffic control and management
  • Transportation Planning and Optimization
  • Traffic Prediction and Management Techniques
  • Traffic and Road Safety
  • Transportation and Mobility Innovations
  • Autonomous Vehicle Technology and Safety
  • Evacuation and Crowd Dynamics
  • Urban Transport and Accessibility
  • Electric Vehicles and Infrastructure
  • Vehicular Ad Hoc Networks (VANETs)
  • Vehicle emissions and performance
  • Energy, Environment, and Transportation Policies
  • Time Series Analysis and Forecasting
  • Smart Grid Energy Management
  • Advanced Battery Technologies Research
  • Simulation Techniques and Applications
  • Infrastructure Resilience and Vulnerability Analysis
  • Human Mobility and Location-Based Analysis
  • Age of Information Optimization
  • Elevator Systems and Control
  • Grey System Theory Applications
  • Urban Design and Spatial Analysis
  • Transportation Systems and Logistics
  • Network Traffic and Congestion Control
  • Statistical Methods and Bayesian Inference

Monash University
2020-2025

Australian Regenerative Medicine Institute
2023-2025

Monash University Malaysia
2024

University of Canterbury
2017-2020

Chang'an University
2019

University of Leeds
2007-2016

Queensland University of Technology
2014

Delft University of Technology
2003-2006

10.1016/j.trc.2016.04.008 article EN Transportation Research Part C Emerging Technologies 2016-04-25

10.1016/j.cnsns.2013.02.018 article EN Communications in Nonlinear Science and Numerical Simulation 2013-03-16

10.1016/j.cnsns.2014.08.019 article EN Communications in Nonlinear Science and Numerical Simulation 2014-09-06

10.1016/j.cnsns.2013.02.007 article EN Communications in Nonlinear Science and Numerical Simulation 2013-02-27

Connected and autonomous (CA) vehicles have been verified to significantly improve traffic efficiency. However, there is still a long lifespan for heterogeneous flow consisting of both human-driven CA vehicles. Thus deep understanding the platoon dynamics critical stability issues deployment in near future. This paper aims develop multiclass microscopic model which can explicitly demonstrate interaction between Specifically, consensus-based control algorithm adopted typical car-following...

10.1080/21680566.2018.1434021 article EN Transportmetrica B Transport Dynamics 2018-02-06

Drivers' risk perception plays a crucial role in understanding vehicle interactions and car-following behavior under complex conditions physical appearances. Therefore, it is imperative to evaluate the variability of risks involved. With advancements communication technology computing power, real-time assessment has become feasible for enhancing traffic safety. In this study, novel approach evaluating driving interaction on freeways presented. The involves integration an model with behavior....

10.1016/j.aap.2024.107571 article EN cc-by Accident Analysis & Prevention 2024-04-11

The first-order continuum traffic model has been extensively studied in the state-of-the-art of flow theory due to its simplicity and capability represent many real problems, such as a shock-wave formation. Furthermore, recent extension multiclass dynamics revealed some interesting non-linear phenomena hysteresis capacity drop. However, most existing models do not display widely scattered flow–density relationship. We argue this article that relationship might be caused by random variations...

10.1080/18128600903251334 article EN Transportmetrica 2009-10-01

10.1016/j.physa.2007.07.041 article EN Physica A Statistical Mechanics and its Applications 2007-07-31

In this article, we propose an extended multiclass gas-kinetic theory applicable to mixed traffic flow of manual and adaptive cruise control (ACC) vehicles. the model, acceleration/deceleration ACC vehicles is specified explicitly using microscopic models. The macroscopic equations are obtained from proposed model well-known method moments. influencing conditions stability with respect a small perturbation derived by linear method. analytical results show that contribute improved...

10.1080/18128600903578843 article EN Transportmetrica 2010-11-20

10.1016/j.trc.2012.02.007 article EN Transportation Research Part C Emerging Technologies 2012-03-22

10.1016/j.physa.2009.02.040 article EN Physica A Statistical Mechanics and its Applications 2009-03-10

AbstractHeterogeneous traffic flow contains the mixed operation of different vehicle classes such as cars, trucks and buses. Previous study has indicated that overall stability heterogeneous is governed by a weighted mean parameters corresponding to each class not affected order in which put into system, for example either car or truck. However, it been recently reported effect composition on dynamics also determined car-following type, following This paper aims at investigating analytically...

10.1080/21680566.2014.960503 article EN Transportmetrica B Transport Dynamics 2014-09-23

This paper proposes a macroscopic model to describe the dynamics of intelligent traffic flow where vehicles are driving closer each other than manual and operating in form many platoons which contains several vehicles. The is developed from car-following allows us obtain well tractable equations for such platoon-based operation. A linear stability diagram constructed based on method certain parameter set. It found analytically that behaviour enhances stabilisation with respect small...

10.1080/21680566.2013.826150 article EN Transportmetrica B Transport Dynamics 2013-08-01

Recent studies have shown that traffic safety and efficiency can be substantially improved by vehicle platooning, in which vehicles periodically broadcast their kinetic status to neighbors, known as beacon message dissemination. As a networked control system, platoon has attracted significant attention from both the networking areas. However, few consider practical scenario with platoons individual vehicles, proposed beaconing schemes lack deep understanding of relationship between...

10.1109/tvt.2017.2702650 article EN IEEE Transactions on Vehicular Technology 2017-05-12

Advances in autonomous and connected vehicles bring new opportunities for intelligent intersection control strategies. In this paper, we propose a centralised way to jointly integrate an problem with vehicle trajectory planning. It is formulated as bilevel optimisation which the upper level designed minimise total travel time by mixed integer linear programming (MILP) model. contrast, lower (LP) model objective function maximise speed entering intersection. The two levels are coupled arrival...

10.1080/23249935.2018.1563921 article EN Transportmetrica A Transport Science 2018-12-24
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