A Reinforcement Learning Integrated in Heuristic search method for self-driving vehicle using blockchain in supply chain management

Abstract Blockchain is a distributed open (Public) ledger that is used to record the transaction across many computers. Blockchain technology can be applied in any domain such as banking, healthcare, real estate, travel, food, and supply chain. In supply chain management to train the self-driving vehicle in blockchain technology also integrate the Artificial Intelligence (AI) and Machine Learning (ML) Algorithms. In this paper we have proposed Reinforcement learning integrated heuristic search method (RLIH) for self-driving vehicle using blockchain in supply chain management by combining the advantage of reinforcement learning and heuristic search method. RLIH is developed using Decentralized app and result shows that proposed method outperform the existing heuristic search method in term of service time and data traffic.

[1]  Surya Prakash Singh,et al.  Blockchain critical success factors for sustainable supply chain , 2020 .

[2]  Zhiyong Liu,et al.  A blockchain-based framework of cross-border e-commerce supply chain , 2020, Int. J. Inf. Manag..

[3]  Alexandre Dolgui,et al.  Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain , 2019, Int. J. Prod. Res..

[4]  Khaled Salah,et al.  Blockchain for AI: Review and Open Research Challenges , 2019, IEEE Access.

[5]  Abhijit Gosavi,et al.  Global supply chain management: A reinforcement learning approach , 2002 .

[6]  G. Meera Gandhi,et al.  Artificial Intelligence Integrated Blockchain For Training Autonomous Cars , 2019, 2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM).

[7]  Eduardo F. Morales,et al.  An Introduction to Reinforcement Learning , 2011 .

[8]  Geetanjali Ramesh Chandra,et al.  Blockchain Redefining: The Halal Food Sector , 2019, 2019 Amity International Conference on Artificial Intelligence (AICAI).

[9]  Viacheslav Shalamov,et al.  Heuristic and metaheuristic solutions of pickup and delivery problem for self-driving taxi routing , 2019, Evol. Syst..

[10]  Ahm Shamsuzzoha,et al.  Real-time supply chain - A blockchain architecture for project deliveries , 2020, Robotics Comput. Integr. Manuf..

[11]  Fang Zhang,et al.  Combining Deep Reinforcement Learning and Safety Based Control for Autonomous Driving , 2016, ArXiv.

[12]  Mohammad Ishak Desa,et al.  Tracking and tracing technology for halal product integrity over the supply chain , 2011, Proceedings of the 2011 International Conference on Electrical Engineering and Informatics.

[13]  Wolfram Burgard,et al.  Learning driving styles for autonomous vehicles from demonstration , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

[14]  ManMohan S. Sodhi,et al.  Blockchain for Supply Chain Traceability: Business Requirements and Critical Success Factors , 2020 .

[15]  Dhanvin Mehta,et al.  Policy Gradient Reinforcement Learning for Solving Supply-Chain Management Problems , 2014, I-CARE 2014.

[16]  Angappa Gunasekaran,et al.  Modeling the blockchain enabled traceability in agriculture supply chain , 2020, Int. J. Inf. Manag..