Welcome to Dr. Meng Wang's website!
Name: Meng Wang
Position: Assistant Professor and hEAT Lab Co-Director
Institution: Department of Transport &
Planning, Delft University of Technology
Address: Stevinweg 1, 2628 CN, Delft,
the Netherlands.
Email: m.wang@tudelft.nl
Phone: +31 (0)15 278 3401
Meng Wang was born in
Beijing, China. He received his Bachelor of Engineering degree from the Department
of Civil Engineering, Tsinghua University in 2003 and his Master
of Science degree from Research Institute of Highway (RIOH), Ministry of
Transport in China in 2006, with specialisation in
Transport Planning and Management.
From 2006 to 2009, Meng
worked as research associate and assistant researcher at National Centre for
Intelligent Transport Systems Engineering and Technology (ITSC)
in RIOH. There he contributed to several projects funded by the Ministry of
Science and Technology, Ministry of Transport, and local governments in China,
varying from driver behavioural analyses, system
architecture design and evaluation for Cooperative (Vehicle Highway) Systems,
to ITS policy recommendations.
From September 2009, he
started working on his PhD project - Sustainability Perspectives of Cooperative
Systems - funded by Royal Dutch Shell at the Department of Transport &
Planning in TU Delft. He worked on the development of a model predictive
control framework for a variety of autonomous and cooperative vehicle systems.
Between May 2014 and March 2015, he worked as a PostDoc
researcher at the Automotive Group at the Department of BioMechanical
Engineering in TU Delft on the project - Truck Merging Support - a Step towards
Autonomous Driving - funded by the Dutch Technology Foundation (STW).
From April 2015, he works as
Assistant Professor at the Department of Transport & Planning, TU Delft,
while remaining involved in projects related to automated driving systems at
the Department of BioMechanical Engineering, TU
Delft, as Guest Researcher. He co-leads the lab of Electric and Automated Transport
research – hEAT Lab of TU Delft.
Meng's main research
interests are driver behaviour modelling, control
approaches for intelligent vehicle systems and traffic flow theory in relation
to intelligent vehicles.
Education
· September
2009 - October 2014, PhD with Cum
Laude at the Department of Transport and Planning, Faculty of Civil
Engineering and Geosciences, Delft University of Technology.
· September
2003 - July 2006, Master of Science in Traffic and Transport Planning and
Management, Research Institute of Highway, Ministry of Transport, China.
· September
1999 - July 2003, Bachelor of Engineering at the Department of Civil
Engineering, Tsinghua University.
Experience
· April
2015 - present, Assistant Professor on Intelligent Vehicles and Driver Behaviour at the Department of Transport & Planning,
Faculty of Civil Engineering and Geosciences, Delft University of Technology,
the Netherlands.
· April
2015 - present, guest researcher at Automotive Group, Department of BioMechanical Engineering, Faculty of Mechanical, Maritime,
and Materials Engineering, Delft University of Technology, the Netherlands.
· May
2014 - March 2015, PostDoc researcher at Automotive
Group, Department of BioMechanical Engineering,
Faculty of Mechanical, Maritime, and Materials Engineering, Delft University of
Technology, the Netherlands.
· September
2009 – October 2014, PhD researcher at the Department of Transport and
Planning, Faculty of Civil Engineering and Geosciences, Delft University of
Technology, the Netherlands.
· April
2012 - June 2012, Visiting PhD researcher at Institute for Traffic
Econometrics, Modeling, and Statistics, Dresden University of Technology,
Germany.
· July
2008 - August 2009, Assistant Researcher and Section Manager at Section
Transport Safety Research, National Center of ITS Engineering & Technology,
Research Institute of Highway, Ministry of Transport, China.
· July
2006 - July 2008, Research Assistant and Project Manager, National Center
of ITS Engineering & Technology, Research Institute of Highway, Ministry of
Transport, China.
Awards and Grants
·
2015,
Second Prize for IEEE ITS Society Best PhD Dissertation Award.
·
2014,
Doctorate Cum Laude (with Distinction), Delft University of Technology.
·
2014,
Chinese Government Award for Outstanding Self-financed Students Abroad, Chinese
Scholarship Council.
·
2013,
Second Prize for the Best Paper Award for 16th IEEE Conference on Intelligent
Transportation Systems (3rd author).
·
2013,
Best Paper Award of 20th World Congress on Intelligent Transportation Systems
(3rd author).
·
2012,
Grant for visiting researchers from Institute for Traffic Econometrics,
Modeling, and Statistics, Dresden University of Technology, Germany.
·
2009,
Innovation Award (for patents) from Research Institute of Highway, Ministry of
Transport, China.
·
2008, Third
Prize of Science and Technology for the project - Key Technologies Development
for Commercial Vehicle Accident Prevention - by China Highway and
Transportation Society (award number.
B08-3-050-005 and ranked 5th in contribution).
·
2008, Outstanding
(technical) employee award of the year, National Centre of ITS Engineering
& Technology, Research Institute of Highway, Ministry of Transport, China.
·
2007, Outstanding
(technical) employee award of the year, National Centre of ITS Engineering
& Technology, Research Institute of Highway, Ministry of Transport, China.
Committee/Board/Membership/Organisation
·
Member
of Technical Committee on Cooperative Driving, IEEE Intelligent Transportation Systemts Society, 2018 - present.
·
Member,
Subcommittee AHB45(3)
Traffic flow modeling for connected and automated vehicles, Transportation
Research Board, 2016 - present.
·
Vice
President, Europe Chapter of Chinese Overseas Transportation Association (COTA),
2016 - present.
·
Staff
member, Dutch Research School for Transport, Infrastructure and Logistics
(TRAIL), 2015 - present
·
Member
of Scientific Committee of the symposium on Management of Future motorway and
urban Traffic Systems (MFTS) (2016 Greece, 2018 Italy).
·
Member
of International Program Committee of 14th IFAC Symposium on Control in
Transportation Systems, May 18 - 20, 2016, Istanbul, Turkey.
·
Member
of International Program Committee of IEEE Intelligent Vehicle Symposium, 2016
- present.
·
Organiser
of workshops/special session
o
2015
EWGT Conference Special Session: Design, Modelling and Control of Autonomous
and Cooperative Vehicle Systems
o
2017
Automated Vehicle Symposium Breakout Session 14: Enhancing the Validity of Traffic Flow Models with Emerging
Data
o
2017
IEEE ITS Conference Workshop: Eco-drive at Intersections with Connected,
Cooperative and Automated Vehicle Technology
Editorship
· Member
of Editorial Board, Transportation Research Part C: Emerging Technologies, 2018
- present.
· Guest
Editor, Special Issue on Advances in Modelling Connected and Autonomous Vehicles,
Journal of Advanced Transportation.
· Area
Editor of Road Traffic Operations, The 17th COTA conference International
Conference of Transportation Professionals (CICTP2017), 2017
· Associate
Editors of regular papers for International IEEE Annual Conferences on
Intelligent Transportation Systems, 2013 - present.
· Associate
Editors of regular papers for IEEE Intelligent Vehicle Symposium, 2016 -
present.
Publication
Peer-reviewed Journal
Articles
[1] Zhou,
Y., Ahn, S., Wang, M. and Hoogendoorn,
S.P. Stabilizing Mixed Vehicular Platoons with Connected Automated Vehicles: An
H-infinity Approach. Transportation Research Part B (under revision). Accepted
for Podium Presentation 23rd International Symposium of Traffic and
Transportation Theory (ISTTT23), 2019.
[2] Duret, A., Wang, M. and
Ladino, A. A Hierarchical Approach For Splitting Truck
Platoons Near Network Discontinuities. Transportation Research Part B (under
revision). Accepted for Podium Presentation 23rd International Symposium of
Traffic and Transportation Theory (ISTTT23), 2019.
[3] X.
D. Kan, L. Xiao, H. Liu, M. Wang, W. J. Schakel, X. Lu, B. van Arem, S.
Shladover, R. Ferlis. Cross-Comparison and
Calibration of Two Microscopic Traffic Simulation Models for Complex Freeway
Corridors with Dedicated Lanes. Journal of Advanced Transportation, 2019.
[4] Wang, M.
Infrastructure assisted adaptive driving to stabilise
heterogeneous vehicle strings. Transportation Research Part C: Emerging
Technologies, 2018, 91, 276-295.
[5]
L. Xiao, M. Wang, W. Schakel, and B. van
Arem. Unravelling
effects of cooperative adaptive cruise control deactivation on traffic flow
characteristics at merging bottlenecks. Transportation Research Part C:
Emerging Technologies, 2018, 96, 380 - 397
[6] W.
Ma, L. Zou, K. An, N.H. Gartner, and M. Wang. A Partition-Enabled
Multi-Mode Band Approach to Arterial Traffic Signal Optimization. IEEE
Transactions on Intelligent Transportation Systems. 2018,
[7] Y.
Shu, W. Daamen, H. Ligteringen, M. Wang, and S. P. Hoogendoorn. Calibration
and validation for the vessel maneuvering prediction (VMP) model using AIS data
of vessel encounters. Ocean Engineering, 2018, 169, 529 -
538
[8] N.
Chen, M. Wang, T. Alkim, and B. van Arem, B. A Robust Longitudinal Control Strategy of Platoons
under Model Uncertainties and Time Delays. Journal of Advanced
Transportation, 2018, 9852721
[9] M. Wang,
S.P. Hoogendoorn, W. Daamen, B. van Arem, B. Shyrokau, and R. Happee. Delay-compensating
strategy to enhance string stability of Adaptive Cruise Controlled vehicles. Transportmetrica B: Transport Dynamics 2018, 6, 211-229.
[10] H.
Jiang, J. Hu, S. An, M. Wang, and B. Park. Eco approaching at an
isolated signalized intersection under partially connected and automated
vehicles environment. Transportation Research Part C: Emerging
Technologies, 2017, 79, 290 – 307.
[11] F.A. Mullakkal-Babu, M. Wang, H. Farah, B. van Arem, and R. Happee. Comparative
assessment of safety indicators for vehicle trajectories on highway.
Transportation Research Record, 2017, (2659), 127-136.
[12] L.
Xiao, M. Wang, B. van Arem. Realistic
car-following models for microscopic simulation of adaptive and cooperative adaptive
cruise control vehicles. Transportation Research Record, 2017, (2623), 1-9.
[13] M. Wang,
W. Daamen, S.P. Hoogendoorn, and B. van Arem. Cooperative
car-following control: distributed algorithm and impact on moving jam features.
IEEE Transactions on Intelligent Transportation Systems. 2016, Vol. 7, No. 5,
pp. 1459-1471.
[14] J.
Hu, Y. Shao, Z, Sun, M. Wang, J. Bared, and P. Huang. Integrated Optimal
Eco-Driving On Rolling Terrain for Hybrid Electric Vehicle with
Vehicle-Infrastructure Communication. Transportation Research Part C: Emerging
Technologies, 2016, Vol. 68, pp. 228 - 244.
[15] M. Wang,
W. Daamen, S.P. Hoogendoorn, and B. van Arem. Connected variable
speed limits control and car-following control with vehicle-infrastructure
communication to resolve stop-and-go waves. Journal of Intelligent
Transportation Systems: Technology, Planning, and Operations, 2016, Vol. 20,
No. 6, pp. 559 - 572.
[16] M. Wang,
S.P. Hoogendoorn, W. Daamen, B. van Arem and R. Happee. Game
theoretic approach for predictive lane-changing and car-following control.
Transportation Research Part C: Emerging Technologies. 2015, Vol. 58, pp.
73-92.
[17] M. Wang,
W. Daamen, S.P. Hoogendoorn, and B. van Arem. Rolling horizon
control framework for driver assistance systems. Part I: Mathematical
formulation and non-cooperative system. Transportation Research Part
C: Emerging Technologies, 2014, Vol. 40, pp. 271 – 289.
[18] M. Wang,
W. Daamen, S.P. Hoogendoorn, and B. van Arem. Rolling horizon
control framework for driver assistance systems. Part II: Cooperative sensing
and cooperative control. Transportation Research Part C: Emerging
Technologies, 2014, Vol. 40, pp. 290 – 311.
[19] M. Wang,
M. Treiber, W. Daamen, S.P. Hoogendoorn, and B. van Arem. Modelling
supported driving as an optimal control cycle: Framework and model
characteristics. Transportation Research Part C: Emerging Technologies, 2013,
Vol. 36, pp. 547 - 563.
[20] M. Wang,
W. Daamen, S.P. Hoogendoorn, and B. van Arem. Potential Impacts of
an Optimization-based Eco-ACC System on Traffic and Environment. IET journal on
Intelligent Transport Systems, 2014, Vol. 8, pp. 77 - 86.
[21] S.
P. Hoogendoorn, R.G. Hoogendoorn, M. Wang, and W. Daamen. Modeling
Driver, Driver Support, and Cooperative Systems with Dynamic Optimal Control.
Transportation Research Record: Journal of the Transportation Research Board,
2012, No. 2586, pp. 20-30.
[22] M. Wang,
W. Daamen, S.P. Hoogendoorn, and B. van Arem. Estimating
acceleration, fuel consumption and emissions from macroscopic traffic flow
data. Transportation Research Record: Journal of the Transportation Research
Board, 2011, No. 2260, pp. 123-132.
[23] B. Li, M. Wang, L. Wang, and H. Li.
Experimental Research on the Impact of Driving Time on Inter-urban Bus Driver’s
Driving Ability. Journal of Highway and Transportation Research and Development,
2007, Vol. 2, No.2, pp. 89-93.
Book Chapter
[1]
J.W.C., van Lint, S. Calvert, W. Schakel, M. Wang, and A. Verbraeck. (2017). Exploring the
Effects of Perception Errors and Anticipation Strategies on Traffic Accidents-A
Simulation Study. In International Conference on Applied Human Factors
and Ergonomics (pp. 249-261). Springer.
[2]
X. Wang, B. Li, M. Wang. Driving safety support systems based on road vehicle cooperation. Future
Road Safety Guarantee System, Engineering Frontier (In Chinese), Vol. 5, 2007,
pp. 116-135.
Peer-reviewed
International Conference Papers
[1]
Wang, M., van Maarseveen,
S., Tool, O., Happee, R., & van Arem, B. Benefits and risks of truck platooning on freeway
operations near entrance ramp. 98th Annual meeting of transportation research
board, Washington, D.C., USA, 2019.
[2]
V. L. Knoop, M. Wang, I. Wilmink, D.M. Hoedemaeker, M. Maaskant, and E.J.
Van der Meer. Platoon of SAE level-2
automated vehicles on public roads: setup, traffic interactions, and stability.
98th Annual Meeting of Transportation Research Board, Washington, D.C., USA,
2019.
[3]
Mullakkal
Babu, F.A., Wang, M., van Arem,
B., & Happee, R. A sub-microscopic traffic flow
simulation framework: Mathematical formulation and implementation prototype.
98th annual meeting of transportation research board, Washington, D.C., USA,
2019.
[4]
M. Liu, M. Wang, S.P. Hoogendoorn. An
optimal platoon trajectory planning approach at arterials. 98th annual meeting
of transportation research board, Washington, D.C., USA, 2019.
[5]
L. Xiao, M. Wang, and B. van Arem, Cooperative
Adaptive Cruise Control with Authority Transition at Merges: Insights into Flow
Characteristics. 2nd Symposium on Management of Future motorway and urban Traffic
Systems (MFTS 2018), Ispra, Italy.
[6]
F. A. Mullakkal-Babu, M. Wang, B. van Arem and R. Happee.
Submicroscopic framework to model mixed highway traffic. 2nd Symposium on
Management of Future motorway and urban Traffic Systems (MFTS 2018), Ispra, Italy.
[7]
A. Duret, A. Ladino, M. Wang. Hierarchical
multi-injection strategy and platoon manoeuvres at
network junctions. 2nd Symposium on Management of Future motorway and urban
Traffic Systems (MFTS 2018), Ispra, Italy.
[8]
N. Chen, M. Wang, T. Alkim, & B. van Arem. Flexible
strategy for efficient merging maneuvers of connected automated vehicles.
Proceedings of CICTP, Beijing (2018).
[9] N.
Chen, M. Wang, T. Alkim, and B. van Arem, B. A Robust Longitudinal Control Strategy of Platoons
under Model Uncertainties and Time Delays. 97th Annual meeting of transportation research board, Washington, D.C.,
USA, 2018.
[10] X. D. Kan, L. Xiao, H. Liu, M. Wang, W. J.
Schakel, X. Lu, B. van Arem, S. Shladover, R. Ferlis. Cross-Comparison and Calibration of Two
Microscopic Traffic Simulation Models for Complex Freeway Corridors with
Dedicated Lanes. 97th Annual meeting of transportation research board, Washington, D.C.,
USA, 2018.
[11] Duret, A., Wang, M., & Leclercq, L.
(2018). Truck Platooning Strategy
Near Merge: Heuristic-Based Solution and Optimality Conditions. 97th
Annual meeting of transportation research board, Washington, D.C., USA, 2018.
[12] Wang, M., Li, H., Gao, J., Huang, Z., Li, B.,
& van Arem, B. (2017). String stability of heterogeneous platoons with non-connected automated
vehicles. In Intelligent Transportation Systems (ITSC), 2017 IEEE 20th
International Conference on (pp. 1-8). IEEE.
[13] F. A. Mullakkal-Babu,
M. Wang, B. van Arem and R. Happee.
Probabilistic safety field for highway driving risk assessment in mixed traffic
with conventional and automated vehicles. 2017 Road Safety & Simulation
Conference, Den Haag, the Netherlands, 2017.
[14] L. Xiao, M. Wang, B. van Arem. Modeling lane change behaviour on a highway with a high occupancy vehicle lane
with continuous access and egress. 5th Annual symposium of the European
Association of Research in Transportation (hEART),
the Netherlands, 2016.
[15] L. Xiao, M. Wang, B. van Arem. Realistic car-following
models for microscopic simulation of adaptive and cooperative adaptive cruise
control vehicles. 96th Annual Meeting of Transportation Research Board,
Washington, D.C., USA, 2017.
[16] L. Xiao, M. Wang, W. Schakel, S. Shladover, B. van
Arem. Modeling lane change
behavior on a highway with a high occupancy vehicle lane with continuous access
and egress. 96th Annual Meeting of Transportation Research Board, Washington,
D.C., USA, 2017.
[17] F.A. Mullakkal-Babu,
M. Wang, H. Farah, B. van Arem, R. Happee. Comparative assessment of safety indicators for
vehicle trajectories on highway. 96th Annual Meeting of Transportation Research
Board, Washington, D.C., USA, 2017.
[18] F.A. Mullakkal-Babu, M. Wang, B. van Arem, R.
Happee. Design and Analysis of
Full Range Adaptive Cruise Control with Integrated Collision Avoidance
Strategy. 19th IEEE Conference on Intelligent Transportation Systems. Brazil,
2016.
[19] M. Wang, S.P. Hoogendoorn, W. Daamen, B. van Arem,
B. Shyrokau, R. Happee. Delay-compensating strategy to enhance string stability of adaptive
cruise controlled vehicles. 95th Annual Meeting of Transportation Research
Board, Washington, D.C., USA, 2016.
[20] M. Wang, S.P. Hoogendoorn, W. Daamen, B. van Arem,
R. Happee. Optimal lane change times
and accelerations of autonomous and connected vehicles. 95th Annual Meeting of
Transportation Research Board, Washington, D.C., USA, 2016.
[21] A. E. Papacharalampous,
M. Wang, V. L. Knoop, B. Goni Ros, B. van Arem, and S. P. Hoogendoorn.
Mitigating Congestion at Sags with Automated Vehicles. 18th IEEE Conference on
Intelligent Transportation Systems. Las Palmas, Spain, 2015.
[22] B. Shyrokau.
J. Loof, O. Stroosma. M.
Wang, R. Happee. Effect of Steering Model Fidelity on
Subjective Evaluation of Truck Steering Feel. Driving Simulation Conference
2015, Germany.
[23] M. Wang, W. Daamen, S.P. Hoogendoorn, and B. van
Arem. Connected variable speed
limits control and vehicle acceleration control to resolve moving jams. 94th
Annual Meeting of Transportation Research Board, Washington, D.C., USA, 2015.
[24] A. Hegyi, B. Netten, M. Wang, W. Schakel, T.
Schreiter, Y. Yuan, B. van Arem, and T. Alkim. A cooperative systems
based variable speed limit control algorithm against jam waves: an extension of
the SPECIALIST algorithm. 16th IEEE Conference on Intelligent Transportation
Systems (ITSC), the Hague, the Netherlands, 2013 (2nd Prize for Best Paper
Award).
[25] B. Netten, A. Hegyi, M. Wang, W. Schakel, Y. Yuan,
T. Schreiter, B. van Arem, C. van Leeuwen, and T. Alkim. Improving moving jam
detection performance with V2I communication. 20th World Congress on
Intelligent Transportation Systems, Tokyo, Japan, 2013 (Best Paper Award).
[26] M. Wang, W. Daamen, S.P. Hoogendoorn, and B. van
Arem. Driver Assistance Systems
Modeling by Model Predictive Control. 15th IEEE Conference on Intelligent
Transportation Systems (ITSC), Anchorage, Alaska, USA, 2012.
[27] M. Wang, W. Daamen, S.P. Hoogendoorn, and B. van
Arem. Modelling Driver
Assistance Systems by Optimal Control. TRAIL Congress 2012, Rotterdam, the
Netherlands, 2012.
[28] M. Wang, S.P. Hoogendoorn, W. Daamen, R.G.
Hoogendoorn, and B. van Arem. Driver Support and Cooperative Systems Control Design.
American Control Conference. Montreal, Canada, 2012.
[29] S. P. Hoogendoorn, R.G. Hoogendoorn, M. Wang, and
W. Daamen. Modeling Driver, Driver
Support, and Cooperative Systems with Dynamic Optimal Control. 91th Annual
Meeting of Transportation Research Board, Washington, D.C., USA, 2012.
[30] M. Wang, W. Daamen, S.P. Hoogendoorn, and B. van
Arem. Investigating Potential
Impacts of an Optimization-based Eco-ACC System on Traffic and Environment.
91th Annual Meeting of Transportation Research Board, Washington, D.C., USA,
2012.
[31] M. Wang, W. Daamen, S.P. Hoogendoorn, and B. van
Arem. Modelling Ecological
Driver Assistance Systems Based on Stochastic Optimal Control Theory. Traffic
and Granular Flow conference 2011. Moscow, Russia, 2011.
[32] M. Wang, W. Daamen, S.P. Hoogendoorn, and B. van
Arem. Estimating acceleration,
fuel consumption and emissions from macroscopic traffic flow data. 90th Annual
Meeting of Transportation Research Board, Washington, D.C., USA, 2011.
[33] M. Wang, W. Daamen, S.P. Hoogendoorn, and B. van
Arem. Impacts of reducing freeway shockwaves on fuel consumption
and emissions. TRAIL Congress 2010, Rotterdam, the Netherlands,
2010.
[34] B. Li, M. Wang, P. Li, and
X. Wang. The Driving Support System Based On the Road Vehicle Cooperative
Technology. Proceedings of the 8th International Conference of Chinese
Logistics and Transportation Professionals (ASCE), Chengdu, China, 2008.
[35] B. Li, X. Wang, M. Wang, C. Wang, and T. Wu. The R&D of Cooperative
Vehicle Infrastructure System for Driving Safety Supporting in China.
Proceedings of 14th World Congress on Intelligent Transportation Systems,
Beijing, China, 2007.
[36] L. Zhao, L. Wang, M. Wang,
S. Ying, and B. Li. Assessment of Accident Prevention Effect of Fixed Speed
Camera. Proceedings of 14th World Congress on Intelligent Transportation
Systems, Beijing, China, 2007.
Students
PhD
students (as daily supervisor)
Name – Starting time - Project
·
Lin Xiao - April 2014 - String Strategies of
Cooperative Adaptive Cruise Control (CACC) Vehicles for High-Performance
Streams
·
Freddy Anthony Mullakkal
Babu - May 2015 - Impacts of automated driving on
traffic flow and safety
·
Na Chen - September 2016 - Scenario-based
cooperative driving strategies for safe and efficient traffic
·
Meiqi Liu –
September 2017 – Cooperative urban driving strategies
Visiting
PhD students
·
Yang Zhou - University of
Wisconsin at Madison, USA
·
Xiaoxia Xiong - Jiangsu University,
China
·
Yu Zhang – Tongji University,
China
Visiting
scholars
·
Dr. Harald Washcl, Johannes Kepler University Linz, Austria
·
Dr. Aurelien Duret, IFSTTAR, France
·
Dr. Romain Billot, IMT Atlantique,
France
Msc students (as daily supervisor)
Name – Completion date - Thesis
·
Aiko Doktor,
September 2018, Active platoon formation in congestion with Dynamic Dedicated
Lane Sections (DDLSs).
·
Paco Hamer, September 2018, Automated truck
platoon model development and effect study of the lane change location on
different motorway road sections.
·
Sander van Maarseveen,
December 2017, Impacts of truck platooning at motorway on-ramps (Final grade 9).
·
Noorhan Helmy, December
2017, An intelligent Traffic Flow progression Model for Predictive Control
Applications (Final grade 9 and Cum Laude).
·
Matthijs Huisman, November 2016, Impacts of
(Cooperative) Adaptive Cruise Control Systems on Traffic Flow: A simulation
case study on the effects of (Cooperative) Adaptive Cruise Control on the A15
highway.
·
Lenin Mishra, August 2016, Maneuvering of
Automated Vehicles in an Unsignalized Intersection: A distributed control
strategy
·
Xiao Ouyang, 2016, Trajectory Generation for
Trucks for Merging Manoeuvres on the Highway
·
Gagan Reddy, 2016, Hierarchical
Model Predictive Control for Trajectory Generation and Tracking in Highly
Automated Vehicles
·
Kejia Gao, 2012,
Multi-objective Traffic Management for Livability.