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Journal of Intelligent Transportation Systems
Technology, Planning, and Operations
Volume 22, 2018 - Issue 3: Connected and Automated Vehicle-Highway Systems
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Articles

Intelligent decision making for overtaking maneuver using mixed observable Markov decision process

Volkan SezerControl and Automation Engineering, Istanbul Technical University, Istanbul, TurkeyCorrespondence[email protected]
Pages 201-217 | Received 01 Apr 2015, Accepted 21 May 2017, Published online: 29 Jun 2017

Citations (13)

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Kaan Ozbay, Xuegang (Jeff) Ban & C. Y. David Yang. (2018) Developments in connected and automated vehicles. Journal of Intelligent Transportation Systems 22:3, pages 187-189.
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Articles from other publishers (12)

Hung Duy Nguyen & Kyoungseok Han. (2023) Safe Reinforcement Learning-based Driving Policy Design for Autonomous Vehicles on Highways. International Journal of Control, Automation and Systems 21:12, pages 4098-4110.
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Henry Alexander Ignatious, Hesham El-Sayed, Manzoor Ahmed Khan & Bassem Mahmoud Mokhtar. (2023) Analyzing Factors Influencing Situation Awareness in Autonomous Vehicles—A Survey. Sensors 23:8, pages 4075.
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Zihao Sheng, Lin Liu, Shibei Xue, Dezong Zhao, Min Jiang & Dewei Li. (2023) A Cooperation-Aware Lane Change Method for Automated Vehicles. IEEE Transactions on Intelligent Transportation Systems 24:3, pages 3236-3251.
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Johannes Himmelreich. (2022) No wheel but a dial: why and how passengers in self-driving cars should decide how their car drives. Ethics and Information Technology 24:4.
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Sami Saeed Binyamin & Sami Ben Slama. (2022) Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid. Sensors 22:21, pages 8099.
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Josh Bertram, Peng Wei & Joseph Zambreno. (2022) A Fast Markov Decision Process-Based Algorithm for Collision Avoidance in Urban Air Mobility. IEEE Transactions on Intelligent Transportation Systems 23:9, pages 15420-15433.
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Monirul Islam Pavel, Siok Yee Tan & Azizi Abdullah. (2022) Vision-Based Autonomous Vehicle Systems Based on Deep Learning: A Systematic Literature Review. Applied Sciences 12:14, pages 6831.
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Qiong Wu, Shuo Cheng, Liang Li, Fan Yang, Li Jun Meng, Zhi Xian Fan & Hua Wei Liang. (2021) A fuzzy-inference-based reinforcement learning method of overtaking decision making for automated vehicles. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 236:1, pages 75-83.
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Ersin Armağan & Tufan Kumbasar. 2021. Intelligent and Fuzzy Techniques: Smart and Innovative Solutions. Intelligent and Fuzzy Techniques: Smart and Innovative Solutions 1068 1076 .
Mohsen Kamrani, Aravinda Ramakrishnan Srinivasan, Subhadeep Chakraborty & Asad J. Khattak. (2020) Applying Markov decision process to understand driving decisions using basic safety messages data. Transportation Research Part C: Emerging Technologies 115, pages 102642.
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Ali Demir & Volkan Sezer. (2019) Motion Planning and Control with Randomized Payloads on Real Robot Using Deep Reinforcement Learning. International Journal of Semantic Computing 13:04, pages 541-563.
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Ali Demir & Volkan Sezer. (2019) Motion Planning and Control with Randomized Payloads Using Deep Reinforcement Learning. Motion Planning and Control with Randomized Payloads Using Deep Reinforcement Learning.

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