Dipl.-Ing. Runhao (Markus) Zhou

Research associate (Ph.D. candidate)

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Chair of Traffic Process Automation

work

Visiting address:

Gerhart-Potthoff-Bau, Room POT 68 Hettnerstraße 3

01069 Dresden

Education

PhD	from 2023	at Chair of Traffic Process Automation of Technische Universität Dresden, Dresden, Germany
B.Sc.+M.Sc.	2016 - 2021	Program: Automotive and Rolling Stock Engineering at Technische Universität Dresden, Dresden, Germany

from 2022	Research associate at the Chair of Traffic Process Automation, Technische Universität Dresden, Dresden, Germany
2022 - 2022	Software testing engineer at JOYNEXT GmbH, Dresden, Germany
2019 - 2021	Research assistant at Fraunhofer Institute for Transportation and Infrastructure Systems IVI, Dresden, Germany
2020 - 2020	Intern of connected car software development at Porsche Engineering Service GmbH, Mönsheim, Germany
2019 - 2019	Student research assistant at Auto Mobil Forschung Dresden GmbH, Dresden, Germany

Research projects

from 2024	ABSOLUT II - Autonomous On-Demand Shuttles Providing Individual Public Transport Services for the Suburban Areas of Leipzig
2022 - 2023	5G Jena - 5G-based V2X networking to increase traffic safety and optimize multimodal transport and energy supply in Jena, Germany

Teaching

Publications

4 Entries

Constrained traffic signal control under competing public transport priority requests via safe reinforcement learningZhou, R., Nousch, T., Wei, L. & Wang, M., 23 Apr 2025, In: Expert systems with applications : an international journal. 284, 19 p., 127676Electronic (full-text) versionResearch output: Contribution to journal > Research article

Multimodal Traffic Light Control with Connected Vehicles: A Deep Reinforcement Learning ApproachZhou, R., Nousch, T., Adam, D., Hirrle, A. & Wang, M., 11 Sep 2023, 2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2023. Institute of Electrical and Electronics Engineers (IEEE)Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
A Deep Reinforcement Learning Approach for Dynamic Traffic Light Control with Transit Signal PriorityNousch, T., Zhou, R., Adam, D., Hirrle, A. & Wang, M., 23 Jun 2023, Proceedings of the 4th Symposium on Management of Future Motorway and Urban Traffic Systems 2022. 10 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Proceedings of the 4th Symposium on Management of Future Motorway and Urban Traffic Systems 2022Wang, M., Jaekel, B., Lehnert, M., Zhou, R. & Li, Z., 13 Jun 2023, TUDpress/Thelem UniversitätsverlagElectronic (full-text) versionResearch output: Book/Report/Anthology > Conference proceeding

3 Entries

A Digital Twin of Signalized Intersections Integrating LISA and Real-time Traffic Detectors Data into SUMO Zhou, R. (Speaker) 14 May 2025 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed

Multimodal Traffic Signal Control via Constrained Deep Reinforcement Learning Zhou, R. (Speaker) 3 Sep 2024 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed

Multimodal Traffic Light Control with Connected Vehicles: A Deep Reinforcement Learning Approach Zhou, R. (Speaker) 13 Jun 2023 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed

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