Deep Q-Learning for Autonomous Vehicle Navigation in Smart Mobility

Title

Deep Q-Learning for Autonomous Vehicle Navigation in Smart Mobility

Creator

Shankar, Jaya; Kavitha, V.K.; Mohan, Chippy; Gouri, M.S.

Description

The proposed system leverages Deep Q-Learning to enhance autonomous vehicle navigation in smart mobility environments. By integrating reinforcement learning with deep neural networks, the system enables vehicles to make real-time decisions while adapting to dynamic traffic conditions. The framework employs a reward-based learning mechanism to optimize path selection, collision avoidance, and efficient maneuvering in complex urban scenarios. To improve decisionmaking accuracy, the proposed approach incorporates an experience replay mechanism, preventing overfitting and ensuring stable learning. Additionally, a target network is utilized to enhance training convergence, allowing the model to generalize effectively across varying road conditions. The system is further optimized through adaptive explorationexploitation strategies, enabling vehicles to balance learning new routes while prioritizing safe and efficient navigation. The proposed methodology demonstrates significant improvements in autonomous mobility, offering a scalable and robust solution for next-generation smart transportation systems. 2025 IEEE.

Source

2025 8th International Conference on Circuit, Power and Computing Technologies, ICCPCT 2025;pp.1052-1057

Date

01-01-2025

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

autonomous vehicle navigation; collision avoidance; Deep Q-Learning; experience replay; exploration-exploitation; intelligent transportation systems; path optimization; reinforcement learning; smart mobility; target network

Coverage

Shankar J., Baselios Mathews II College of Engineering, Department of Computer Science and Enginering, Sasthamcotta, India; Kavitha V.K., Baselios Mathews II College of Engineering, Department of Computer Science and Enginering, Sasthamcotta, India; Mohan C., Christ University, School of Business & Management, Bangalore, India; Gouri M.S., Baselios Mathews II College of Engineering, Department of Computer Science and Enginering, Sasthamcotta, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 979-833154317-4;

Format

online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICCPCT65132.2025.11176723

https://www.scopus.com/pages/publications/105020186403?origin=resultslist