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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM63523
Volume:
10 |
5 |
May 2026
Pages:
1-11
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
ELECTRICAL & ELECTRONICS DEPARTMENT
ILAHIA COLLEGE OF ENGINEERING & TECHNOLOGY
ELECTRICAL & ELECTRONICS DEPARTMENT
ILAHIA COLLEGE OF ENGINEERING & TECHNOLOGY
ELECTRICAL & ELECTRONICS DEPARTMENT
ILAHIA COLLEGE OF ENGINEERING & TECHNOLOGY
ELECTRICAL & ELECTRONICS DEPARTMENT
ILAHIA COLLEGE OF ENGINEERING & TECHNOLOGY
ELECTRICAL & ELECTRONICS DEPARTMENT
ILAHIA COLLEGE OF ENGINEERING & TECHNOLOGY
ELECTRICAL & ELECTRONICS DEPARTMENT
ILAHIA COLLEGE OF ENGINEERING & TECHNOLOGY
The fundamental right to autonomous mobility and navigational independence remains significantly compromised for individuals afflicted with severe physical impairments, most notably those experiencing upper extremity amputations, partial paralysis, or localized musculoskeletal disabilities. Conventional vehicular architectures inherently demand complex, simultaneous multimodal coordination involving the synchronized application of both upper and lower limbs, thereby establishing an insurmountable operational barrier for this demographic and inadvertently perpetuating their socio-economic marginalization due to a restrictive reliance on inadequate public transit. In response to this critical infrastructural deficiency and the pressing need for accessible engineering solutions, this research presents the comprehensive electromechanical design, structural prototyping, and dynamic validation of a bespoke, single-hand operatable four-wheeled auto-rickshaw engineered explicitly for handicapped and differently abled populations. The technological cornerstone of this vehicular innovation is the conceptualization, rigorous calibration, and integration of a highly ergonomic, multi-axis joystick-based human-machine interface. This centralized command module fundamentally redefines traditional automotive control topologies by dynamically consolidating primary longitudinal and lateral driving dynamics—namely, steering trajectory modulation, electronic throttle regulation, hydraulic braking articulation, and mechanical gear transmission—into a singular, intuitively navigable interface requiring only unilateral manual engagement. To achieve seamless and deterministic signal transduction from the human operator to the vehicular powertrain, the underlying control mechanism utilizes a sophisticated network of high-torque electromechanical linear actuators, rotary encoders, and precision position sensors. These specialized components operate within a meticulously calibrated, closed-loop cyber-physical framework, ensuring microsecond-level responsive fidelity, mitigating mechanical latency, and drastically minimizing the requisite operational exertion forces. This targeted ergonomic optimization effectively mitigates driver neuromuscular fatigue over prolonged navigational periods, ensuring sustained operational safety and cognitive focus. Furthermore, addressing the critical dynamic instabilities and rollover susceptibilities historically associated with conventional asymmetrical three-wheeled auto-rickshaws, the architectural transition to a symmetrical four-wheel chassis exponentially optimizes the vehicle's dynamic center of gravity and lateral roll stability threshold. This expanded vehicular footprint guarantees superior cornering maneuverability, optimal dynamic traction distribution, and unprecedented passenger comfort across highly variable topographical gradients, ranging from heavily congested urban asphalt infrastructures to undulating, unpaved semi-rural terrains. Augmenting the physical electromechanical framework is an integrated, state-of-the-art Internet of Things (IoT) embedded safety ecosystem meticulously designed to pre-emptively mitigate collision risks and enhance overall user confidence in autonomous transit. Utilizing sophisticated intelligent sensor fusion protocols encompassing ultrasonic transducer arrays and infrared proximity detectors, the vehicle facilitates real-time spatial obstacle detection and provides immediate, context-aware haptic and auditory feedback to the operator. In tandem, the onboard micro-controller telemetry module enables continuous remote diagnostic monitoring of critical vehicular subsystems and the autonomous, latency-free dispatch of geolocated emergency distress alerts via cellular networks in the event of systemic anomalies, mechanical failures, or sudden impact detection. Ultimately, by synergistically synthesizing advanced electromechanical actuation kinematics with intelligent digital safety protocols, this project transcends mere mechanical engineering innovation to establish a transformative paradigm in adaptive, barrier-free mobility. It fundamentally democratizes the modern transportation ecosystem, empowering physically challenged individuals with unprecedented vehicular independence, facilitating their seamless societal reintegration, and unlocking previously inaccessible vocational and commercial employment opportunities within a progressive, globally inclusive automotive landscape [1][2][3].
KEYWORDS
The braking and active safety architecture of the Single Hand Drive Electric Vehicle (EV) is engineered as a highly robust, fault-tolerant subsystem to ensure secure dynamic operation. The primary deceleration mechanism utilizes an electronic braking protocol integrated with the Brushless Direct Current (BLDC) motor’s commutation sequence. When the user returns the control joystick to its neutral dead-band or initiates a reverse kinematic vector, the central 32-bit microcontroller modulates the motor inverter to gradually reduce rotational velocity, employing regenerative braking to recuperate kinetic energy and achieve a smooth halt. To handle acute emergencies, a redundant electromechanical friction braking matrix supplements the primary electronic system, providing immediate kinetic arrest directly at the wheel assemblies in compliance with strict automotive safety standards. Furthermore, the vehicle incorporates a multi-tiered active safety ecosystem utilizing a continuous array of ultrasonic and infrared sensors for real-time environmental perception. If an obstacle breaches a predefined spatial safety threshold, the central processing unit triggers a hard-coded autonomous override protocol to decelerate or completely stop the vehicle, mitigating collision risks independently of operator reaction time. For immediate manual intervention, a physically accessible emergency stop (E-stop) switch allows the user or assisting personnel to instantly sever the high-current power transmission between the battery and the drivetrain. This physical fail-safe is reinforced by continuous algorithmic diagnostics that force the powertrain into a secure, stationary default state upon detecting systemic anomalies. Finally, the vehicle adheres to rigorous electrical safety standards, utilizing high-voltage insulation, precise chassis grounding, and fast-acting circuit breakers to prevent electrical hazards and guarantee overall operational integrity
REFERENCES 1. V. Pandey, S. Sharma, R. Gupta, and P. Singh, "IoT-Based Safety System for Physically Challenged Vehicle Drivers," in Proc. IEEE Int. Conf. on IoT and Smart Cities, 2022. 2. S. Ramesh, P. J. Varghese, and A. Kumar, "Design and Implementation of a Hand-Controlled Vehicle for Physically Challenged Persons," in Proc. IEEE Int. Conf. on Smart Technologies, 2021. 3. R. Kumar, P. Mehta, and D. Roy, "Ergonomic Design Considerations for Physically Challenged Vehicle Drivers," IEEE Access, vol. 8, pp. 12345–12353, 2020. 4. M. Gupta, R. Sharma, S. Verma, and K. Raj, "Smart Adaptive Vehicle for Differently-Abled People Using Arduino and Sensors," in Proc. IEEE Int. Conf. on Communication and Signal Processing, 2020. 5. C. Sachin, S. Srihari, K. Prajeesh, N. Prem, B. Sreevasudev, and K. R. Bharath, "Increasing Accessibility of Electric Vehicles with Joystick Based Drive-By-Wire Model," in Proc. IEEE Int. Conf. on Control, Automation and Robotics (ICCAR), pp. 435–439, 2020. 6. C. Huang, F. Naghdy, H. Du, and H. Huang, "Shared Control of Highly Automated Vehicles Using Steer-By-Wire Systems," IEEE/CAA J. Autom. Sinica, vol. 6, no. 2, pp. 371–382, Mar. 2019. 7. A. Khan, S. Gupta, R. Kaur, and M. Singh, "Design and Simulation of Adaptive Hand Controlled Driving System," IEEE Trans. Human-Machine Systems, vol. 49, no. 6, pp. 654–662, 2019. 8. A. M. Abdul Rahman and N. Yusof, "Assistive Driving Control System Using Joystick Interface for Disabled Drivers," in Proc. IEEE Symp. on Computer Applications and Industrial Electronics, 2019. 9. P. B. Kalbande, S. Patil, and R. Deshmukh, "Development of Modified Vehicles for Physically Handicapped Persons," in Proc. IEEE Int. Conf. on Advances in Communication and Computing Technology (ICACCT), 2018. 10. D. S. Singh, N. Sharma, M. Gupta, and S. Sharma, "Development of System for Early Fire Detection Using Arduino UNO," Int. J. Eng. Sci., vol. 10857, 2017.
Publication Date
5/19/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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