International Journal of Electronics Automation Review Article
SoloRider: An Autonomous Self-Balancing Electric Bike for Sustainable Urban Mobility
Abstract
Rapid urbanization has intensified challenges such as traffic congestion, parking inefficiency, and environmental degradation. While autonomous vehicle research predominantly focuses on four-wheel platforms, lightweight two-wheelers remain comparatively underexplored. Two-wheelers are a great option for sustainable urban transportation because of their many benefits, including their small size, lower energy consumption, better manoeuvrability, and lesser infrastructure requirements. This paper presents SoloRider, a conceptual autonomous self- balancing electric two-wheeler de- signed for sustainable urban mobility. The proposed framework integrates inverted pendulum-based stabilization, layered sensor fusion, closed-loop control, and intelligent navigation architecture. Analytical modeling establishes the theoretical feasibility of dynamic balance control and autonomous integration within a compact electric mobility platform. The framework uses a variety of sensors, including as positioning modules, ultrasonic sensing, and inertial measurement units, to continually track obstacle proximity, vehicle orientation, and navigation parameters. A prototype implementation is currently under development to validate real-world perfor- mance in future work. For safe and dependable operation, the study emphasises the possibility of combining autonomous navigation algorithms, real-time decision-making, and adaptive control systems. In order to experimentally verify the suggested autonomous two-wheeler platform& balancing performance, navigational accuracy, and practical operating capabilities in further work, a prototype implementation is now being developed under practical conditions.
Keywords
References (10)
- Ma Y, Meng F, Xiong S. Design and implementation of a two- wheeled self-balancing car using a fuzzy Kalman filter. Applied Sciences. 2024 Jun 19;14(12):5296.
- Reda M, Onsy A, Haikal AY, Ghanbari A. Path planning algorithms in the autonomous driving system: A comprehensive review. Robotics and Autonomous Systems. 2024 Apr 1;174:104630.
- Zhang H, Mohamad Nor N. Control strategies for two-wheeled self- balancing robotic systems: A comprehensive review. Robotics. 2025 Jul 26;14(8):101.
- Feriyonika F, Hidayat A. Balancing control of two-wheeled robot by using Linear Quadratic Gaussian (LQG). Journal of Telecommunication, Electronic and Computer Engineering (JTEC). 2020 Aug 30;12(3):55-9.
- Pham DA, Pham TN. Determination of a tilt angle for the automatic balancing system with the inertial measurement unit MPU6050. InInternational Conference on Advanced Mechanical Engineering, Automation and Sustainable Development 2021 Nov 4 (pp. 349-354). Cham: Springer International Publishing.
- Ma H, Pei W, Zhang Q. Research on path planning algorithm for driverless vehicles. Mathematics. 2022 Jul 22;10(15):2555.
- Chen G, Luo N, Liu D, Zhao Z, Liang C. Path planning for manipulators based on an improved probabilistic roadmap method. Robotics and Computer-Integrated Manufacturing. 2021 Dec 1;72:102196.
- Klöppel M, Römer F, Wittmann M, Hatam B, Herrmann T, Sim LL, Lim JS, Lu Y, Medovy V, Merkle L, Ten WX. Scube—Concept and Implementation of a Self-balancing, Autonomous Mobility Device for Personal Transport. World Electric Vehicle Journal. 2018 Dec 5;9(4):48.
- Hassanpour A, Bigazzi A. Perceptions toward pedestrians and micromobility devices in off-street cycling facilities and multi-use paths in metropolitan Vancouver, Canada. Transportation Research Part F: Traffic Psychology and Behaviour. 2025 Feb 1;109:951-64.
- Strässer R, Brändle F, Meister D, Seidel M, Allgöwer F. Autonomous e- scooters for sustainable urban mobility: Achievements and insights from an experimental prototype. InEuropean Robotics Forum 2025 Feb 24 (pp. 3-9). Cham: Springer Nature Switzerland.