Dr.ir. S.C. (Simeon) Calvert
Dr.ir. S.C. (Simeon) Calvert
Profile
Simeon maintains a broad interest in a vast number of traffic flow related topics and has a particular interest in traffic management and the analysis of traffic flow, as well as the impact of automated and cooperative driving towards the future.
Expertise
Publications
-
2024
Beyond behavioural change
Investigating alternative explanations for shorter time headways when human drivers follow automated vehicles
Yiru Jiao / Guopeng Li / Simeon C. Calvert / Sander van Cranenburgh / Hans van Lint -
2024
Cooperative lane-changing in mixed traffic
a deep reinforcement learning approach
Xue Yao / Zhaocheng Du / Zhanbo Sun / Simeon C. Calvert / Ang ji -
2024
Driving patterns in connected environments
A case study of intersection-approaching behavior of professional and non-professional drivers
Hailun Zhang / Rui Fu / Jianqiang Wang / Simeon C. Calvert / Hans van Lint -
2023
'Benut de kansen die autonome voertuigen bieden'
Simeon Calvert
-
2023
(Mis-)use of standard Autopilot and Full Self-Driving (FSD) Beta
Results from interviews with users of Tesla's FSD Beta
Sina Nordhoff / John D. Lee / Simeon C. Calvert / Siri Berge / Marjan Hagenzieker / Riender Happee -
Media
-
2023-05-01
Nieuw integraal raamwerk voor Meaningful human control
Appeared in: NM Magazine
-
2022-08-18
Mall Leidschendam blijft fileknoop door uitstel verbreding A4: 'Onlosmakelijk met elkaar verbonden'
Appeared in: Omroep West
-
2022-07-05
Uit alle hoeken: 4 dilemma’s rondom zelfrijdende auto’s
Appeared in: Smart Mobility
-
2017-11-20
Recordfiles: te weinig asfalt, slecht weer of rijden we te asociaal?
Appeared in: Algemeen Dagblad
-
2016-07-04
Nieuw asfalt niet altijd nodig bij filebestrijding
Appeared in: NEmo Kennislink
Prizes
-
2023-9-28
Best Student Paper Runner-up Award (IEEE ITSC 2023)
Won the Best Student Runner-up Award at 26th IEEE International Conference on Intelligent Transportation Systems ITSC 2023
26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023 -
2016-12-16
Best paper award ACSEE 2016
Best paper award at International Conference on Advances in Civil, Structural and Environmental Engineering - ACSEE 2016, for paper 'Considering knowledge gaps for automated driving in conventional traffic'
http://www.traffic-quest.nl/images/stories/Plaatjes/Fotos/ascee_2.jpg
4th International Conference on Advances in Civil, Structural and Environmental Engineering -
2015
Greenshields Prize 2015
This paper proposes a real time travel time prediction framework designed for large urban area including both arterial and urban roads. This framework makes it possible to test a wide variety of prediction models based either on theoretical or data-driven approaches. The results are demonstrated in a large test case corresponding to the Amsterdam Practical Trial. Data-driven approaches were then favor because their are easier to calibrate and require less computations. For short-term prediction, it appears that the simplest data driven approach (naive approach) performs the best. For larger-time window, a refined method (historic median prediction) provides the more accurate results. In most cases, the average absolute relative error is below 20%. The main contributions of this paper are (i) the formulation of the global framework and (ii) the extensive test of different methods on a large and heterogeneous operational test cases. The operational feedbacks from this study provide a good state of the art of the performance of data-driven methods in a mixed context and pave the way of further methodological developments
-
4-2-29
Certificate of appreciation
Awarded by the Vehicle-Highway Automation Committee at the 2021 TRB Annual Meeting with appreciation and respect for great work as an organizer of the Automated Vehicles Symposium 2020 ~ July 27–30, 2020
Ancillary activities
-
2024-02-12 - 2026-02-12