Designing a Self-Driven Air Purifying Bicycle for Cleaner Urban Cycling: A Review of an Innovative Smart Mobility System

Urban cyclists are among the road users most vulnerable to air pollution because they travel in close proximity to vehicle emissions while maintaining elevated breathing rates during physical activity. Conventional protective equipment, such as face masks, often provides limited comfort and does not adapt to changing environmental conditions or rider physiology. This study introduces an innovative self-driven air purifying bicycle that combines air filtration, physiological monitoring, environmental sensing, and autonomous power generation into a single integrated system. By harvesting energy from bicycle motion and dynamically regulating airflow based on real-time sensor data, the proposed design offers a sustainable engineering solution for healthier urban commuting while contributing modestly to local air quality improvement.

Bibliographic Information

Item	Information
Article Title	Design and Fabrication of a Self-Driven Air Purifying Bicycle With Real-Time Monitoring System
Authors	Manpreet Singh; Manish Kumar Singla; Pradeep Jangir; Wulfran Fendzi Mbasso
Journal	Engineering Reports
Publisher	John Wiley & Sons Ltd.
Publication Year	2025
Volume	7
Issue	12
Article Number	e70507
DOI	10.1002/eng2.70507
ISSN	2577-8196
License	Creative Commons Attribution License (CC BY)
Keywords	air purification; bicycle commuting; real-time monitoring; urban pollution

Research Background

Air pollution remains one of the most significant environmental health challenges affecting urban populations worldwide. Fine particulate matter (PM2.5 and PM10), nitrogen dioxide, sulfur dioxide, carbon monoxide, and volatile organic compounds contribute to respiratory diseases, cardiovascular disorders, and reduced overall quality of life.
Cyclists experience greater exposure to airborne pollutants than many other road users because they travel directly within traffic corridors while breathing at higher rates during physical activity. Although cycling is environmentally friendly, prolonged exposure to polluted air may reduce its health benefits.
Existing personal protective equipment, particularly conventional face masks, provides only passive filtration. Most available solutions cannot automatically respond to changing pollution levels or variations in the rider's physical exertion, resulting in reduced comfort and inconsistent protection.
Recent advances in environmental sensing, embedded electronics, wearable health monitoring, and energy harvesting have created opportunities to develop intelligent cycling systems capable of integrating multiple engineering technologies into a single transportation platform.
The reviewed study addresses this challenge by developing a self-driven air purifying bicycle equipped with multi-stage air filtration, physiological monitoring, environmental sensing, adaptive airflow control, and an autonomous power supply generated from bicycle motion.
Rather than functioning solely as a personal protective device, the proposed system also releases a portion of filtered air back into the surrounding environment, introducing a dual-purpose concept that simultaneously protects the cyclist and contributes to localized air quality improvement.

Research Objective

Develop a self-powered air purification system that can be integrated into a conventional bicycle without requiring external electrical charging.
Design an adaptive air filtration mechanism capable of supplying clean air to cyclists based on real-time environmental and physiological conditions.
Integrate air quality sensors and heart-rate monitoring into an intelligent control system that dynamically regulates airflow according to rider demand.
Design a modular engineering system that combines mechanical, electrical, environmental, and embedded control technologies within a lightweight bicycle platform.
Evaluate the effectiveness of the proposed system in reducing particulate exposure while maintaining user comfort during cycling.
Demonstrate the feasibility of combining sustainable energy harvesting with smart environmental protection for urban transportation.

Why This Research Matters

Improves cyclist health. The proposed system actively delivers filtered air during cycling, reducing exposure to harmful airborne pollutants commonly encountered in urban environments.
Introduces adaptive environmental protection. Unlike conventional masks, airflow is automatically adjusted using real-time measurements of both pollution levels and rider physiological conditions.
Promotes sustainable transportation. The purification system operates using electricity generated from bicycle motion, eliminating dependence on external charging infrastructure.
Demonstrates multidisciplinary engineering integration. The research combines mechanical engineering, embedded systems, environmental engineering, sensor technology, biomedical monitoring, and renewable energy harvesting into a unified transportation platform.
Supports smart urban mobility. The proposed bicycle illustrates how intelligent transportation technologies can improve commuter health while maintaining environmentally sustainable modes of travel.
Provides a foundation for future smart bicycles. The modular design offers opportunities for incorporating additional sensing technologies, wireless communication, and Internet of Things (IoT) connectivity in future developments.

Research Methodology

Research Design
The study employed an engineering design and prototype development approach to design, fabricate, and experimentally evaluate a self-driven air purifying bicycle equipped with an intelligent real-time monitoring system. The research integrates mechanical engineering, environmental engineering, embedded electronics, sensor technology, and renewable energy harvesting into a unified transportation platform.
System Architecture
The proposed bicycle consists of five interconnected subsystems: an air intake and multi-stage filtration unit, a ducted airflow distribution system, an environmental and physiological sensing module, a power generation and battery management system, and an adaptive control unit. These components work together to continuously monitor environmental conditions and regulate filtered airflow supplied to the cyclist.
Air Filtration System
Ambient air enters the purification chamber through a front-mounted intake before passing sequentially through a pre-filter, a High-Efficiency Particulate Air (HEPA) filter, and an activated carbon filter. The filtration chamber divides purified air into two pathways: one delivers clean air directly to the cyclist through a breathing mask, while the second releases filtered air into the surrounding environment.
Sensor Integration
The prototype incorporates laser-based PM2.5 sensors, gas sensors, and an infrared heart-rate sensor to continuously monitor both environmental pollution and rider physiological conditions. Sensor data are processed by an Arduino Nano microcontroller that dynamically adjusts fan operation according to real-time measurements.
Adaptive Airflow Control
The researchers implemented a closed-loop control algorithm based on a Pollution–Exertion Index (PEI), which combines normalized heart-rate measurements and particulate concentration values. According to predefined threshold values, the controller automatically selects low, medium, or high fan speeds to balance rider comfort, filtration performance, and energy efficiency.
Power Generation System
The purification system is powered by a hub dynamo mounted on the bicycle wheel. Mechanical energy generated during cycling is converted into electrical energy, rectified, regulated, and stored in a lithium polymer battery. A charge controller with automatic overcharge protection ensures reliable operation without requiring external charging.
Prototype Fabrication
The prototype utilizes lightweight engineering materials, including acrylic for the filtration chamber, PVC and ABS components for airflow ducts, aluminum mounting brackets, and silicone tubing for clean-air delivery. The modular design simplifies maintenance while minimizing additional weight and aerodynamic drag.
Experimental Evaluation
Performance testing was conducted in multiple urban environments representing different pollution levels. Air quality measurements before and after filtration were compared to determine particulate removal efficiency, while system responsiveness, airflow regulation, power management, and user-oriented functionality were also evaluated.

Key Findings

High Air Filtration Performance Across Different Urban Environments

Experimental testing demonstrated that the proposed air purification system consistently reduced airborne particulate concentrations in multiple urban settings. Filtration efficiencies remained close to 88% across locations ranging from residential streets to heavily congested traffic corridors, indicating reliable purification performance under varying environmental conditions.

Adaptive Airflow Improved User Comfort

Unlike conventional passive filtration systems, the developed bicycle continuously adjusted airflow according to both pollution levels and rider heart rate. This adaptive mechanism ensured that cyclists received increased airflow during periods of greater physical exertion while reducing unnecessary energy consumption during lower-intensity riding.

Successful Integration of Environmental and Physiological Monitoring

The study demonstrated that combining air quality sensing with biometric monitoring enables more responsive environmental protection. Real-time communication between sensors and the microcontroller allowed the purification system to modify operating conditions automatically without requiring manual user intervention.

Autonomous Power Generation Supported Continuous Operation

The hub dynamo and lithium polymer battery successfully supplied electrical power to the fan, sensors, and control electronics throughout bicycle operation. This energy-harvesting strategy eliminated dependence on external charging while supporting sustainable long-term system operation.

Dual-Purpose Air Distribution Expanded System Functionality

In addition to supplying filtered air directly to the cyclist, the system discharged a second stream of purified air into the surrounding environment. Although localized in scale, this dual-output configuration distinguishes the proposed design from conventional personal filtration devices by combining individual protection with environmental benefit.

Modular Engineering Design Improved Practical Implementation

The prototype successfully integrated mechanical components, electronic control systems, environmental sensors, and renewable energy harvesting into a lightweight modular architecture. The transparent filtration chamber and replaceable filter cartridges simplify inspection and maintenance while supporting future system upgrades.

Scientific Contribution

Introduces an integrated smart bicycle platform that combines air purification, physiological monitoring, environmental sensing, adaptive control, and renewable energy harvesting within a single engineering system.
Proposes a real-time adaptive airflow strategy based on simultaneous monitoring of cyclist heart rate and ambient air quality rather than relying on fixed airflow settings.
Demonstrates the feasibility of autonomous air purification using bicycle-generated electrical energy without external charging requirements.
Expands smart mobility research by integrating environmental protection and human-centered engineering into sustainable urban transportation.
Provides a modular prototype architecture that can support future development of intelligent bicycles equipped with IoT connectivity, advanced sensing technologies, and digital health monitoring.
Illustrates multidisciplinary engineering integration involving mechanical design, embedded systems, environmental engineering, biomedical sensing, and sustainable energy technologies.

Industrial Implications

Supports healthier urban cycling. The proposed technology may improve cyclist protection in cities experiencing persistent air pollution.
Creates opportunities for smart bicycle manufacturing. Bicycle manufacturers may integrate intelligent air purification systems into premium commuter and electric bicycle platforms.
Encourages sustainable transportation innovation. Self-powered environmental protection systems reduce dependence on external electrical infrastructure while supporting environmentally friendly mobility.
Provides a platform for wearable health technologies. Integration of physiological monitoring with transportation systems opens opportunities for personalized mobility and digital healthcare applications.
Supports smart city initiatives. Connected versions of the proposed system could contribute environmental monitoring data for urban air quality management.
Demonstrates commercialization potential. The modular design, commercially available components, and relatively simple fabrication methods facilitate future product development and industrial implementation.

Research Limitations

The prototype was evaluated primarily under experimental conditions and limited urban environments. Broader field validation across different climatic conditions and transportation settings would strengthen confidence in long-term performance.
Although filtration efficiency was demonstrated, the study did not evaluate long-term filter degradation, replacement intervals, or maintenance costs associated with extended operation.
The environmental contribution of releasing filtered air into surrounding areas was discussed conceptually but was not quantitatively assessed at neighborhood or city scales.
The adaptive control algorithm relies on predefined threshold values for physiological and environmental measurements. Future optimization using machine learning or personalized calibration may further improve system performance.
The prototype increases bicycle weight because of additional mechanical and electronic components, although the study aimed to minimize this effect through lightweight materials.
Economic feasibility, large-scale manufacturing considerations, and lifecycle cost analysis were outside the scope of the present investigation.

Future Research Opportunities

Evaluate long-term performance and durability under diverse weather and urban operating conditions.
Develop machine learning algorithms capable of optimizing airflow based on individual cycling behavior and environmental dynamics.
Integrate wireless communication and Internet of Things (IoT) technologies for cloud-based environmental monitoring.
Investigate alternative lightweight filtration materials that reduce pressure loss while improving purification efficiency.
Assess long-term battery performance, energy harvesting efficiency, and lifecycle sustainability.
Evaluate user comfort through large-scale field studies involving cyclists with different physical characteristics.
Quantify the cumulative environmental impact of widespread deployment in urban transportation networks.
Explore integration with electric bicycles and intelligent transportation systems.
Develop smartphone applications for real-time visualization of health and environmental data.
Conduct comprehensive techno-economic assessments to evaluate commercialization potential and manufacturing scalability.

Potential for Public Policy Citation (Overton)

This research demonstrates considerable potential to inform public policy related to sustainable transportation, urban air quality management, public health, and smart city development. The proposed self-driven air purifying bicycle aligns with the growing international emphasis on reducing transportation-related pollution while encouraging active mobility. By integrating renewable energy harvesting, intelligent environmental monitoring, and personal health protection into a single transportation platform, the study provides evidence that can support future policy initiatives promoting healthier urban commuting.

Transportation authorities may consider similar technologies when developing cycling infrastructure in densely populated cities where commuters are routinely exposed to elevated concentrations of particulate matter and gaseous pollutants. The concept also complements policies encouraging low-carbon transportation systems by improving the safety and comfort of cycling without increasing fossil fuel consumption.

The study may further contribute to public policy discussions concerning smart mobility, environmental engineering, urban resilience, and preventive healthcare by demonstrating how engineering innovation can simultaneously address transportation sustainability and public health challenges.

Who Should Read This Paper?

Researchers working in environmental engineering, sustainable transportation, smart mobility, and air pollution mitigation.
Mechanical engineers involved in bicycle design, product development, and intelligent transportation systems.
Engineers developing embedded systems, Internet of Things (IoT) devices, wearable technologies, and real-time monitoring platforms.
Urban planners and transportation authorities responsible for cycling infrastructure and sustainable mobility initiatives.
Public health researchers studying environmental exposure during active transportation.
Industrial designers and manufacturers interested in next-generation smart bicycles and personal environmental protection technologies.
Graduate students conducting multidisciplinary research involving mechanical engineering, environmental monitoring, renewable energy, and biomedical sensing.

Final Thoughts

This study presents an innovative engineering solution that extends the role of bicycles beyond sustainable transportation by incorporating intelligent environmental protection and human-centered health monitoring. Through the integration of multi-stage air filtration, adaptive airflow control, renewable energy harvesting, and real-time sensing technologies, the proposed prototype demonstrates how multidisciplinary engineering can address contemporary urban challenges.

Rather than relying solely on conventional protective equipment, the research introduces an adaptive system capable of responding automatically to both environmental pollution and rider physiological conditions. The modular architecture, autonomous power supply, and dual-purpose air purification concept distinguish this work from previous approaches while creating opportunities for future development of smart mobility technologies.

Although additional long-term validation and large-scale deployment studies remain necessary, the prototype provides a valuable proof of concept for integrating environmental engineering, embedded electronics, and sustainable transportation into a practical urban mobility platform. The research therefore represents a meaningful contribution toward healthier, cleaner, and more intelligent cycling systems.

Suggested Citations

Teknomekanik (UNP) Style

Singh, M., Singla, M. K., Jangir, P., & Mbasso, W. F. (2025). Design and fabrication of a self-driven air purifying bicycle with real-time monitoring system. Engineering Reports, 7, e70507. https://doi.org/10.1002/eng2.70507

APA (7th Edition)

IEEE Style

M. Singh, M. K. Singla, P. Jangir, and W. F. Mbasso, "Design and fabrication of a self-driven air purifying bicycle with real-time monitoring system," Engineering Reports, vol. 7, Art. no. e70507, 2025, doi:10.1002/eng2.70507.

Harvard Style

Singh, M., Singla, M.K., Jangir, P. & Mbasso, W.F., 2025. Design and fabrication of a self-driven air purifying bicycle with real-time monitoring system. Engineering Reports, 7, e70507. Available at: https://doi.org/10.1002/eng2.70507.

Vancouver Style

Singh M, Singla MK, Jangir P, Mbasso WF. Design and fabrication of a self-driven air purifying bicycle with real-time monitoring system. Engineering Reports. 2025;7:e70507. doi:10.1002/eng2.70507.

Chicago (Author–Date)

Singh, Manpreet, Manish Kumar Singla, Pradeep Jangir, and Wulfran Fendzi Mbasso. 2025. "Design and Fabrication of a Self-Driven Air Purifying Bicycle With Real-Time Monitoring System." Engineering Reports 7: e70507. https://doi.org/10.1002/eng2.70507.

MLA (9th Edition)

Singh, Manpreet, et al. "Design and Fabrication of a Self-Driven Air Purifying Bicycle With Real-Time Monitoring System." Engineering Reports, vol. 7, 2025, article e70507. Wiley, https://doi.org/10.1002/eng2.70507.

Editorial Note

This review has been prepared exclusively from the scientific content presented in the published research article. The discussion focuses on the study's objectives, methodology, engineering innovations, experimental findings, scientific contributions, and practical implications without introducing external scientific interpretations. Bibliographic information has been reproduced from the official publication metadata wherever available.

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Highlights at a Glance

The proposed bicycle integrates air purification, physiological monitoring, environmental sensing, and renewable energy harvesting into a single mobility platform.
A three-stage filtration system consisting of a pre-filter, HEPA filter, and activated carbon filter significantly improves the quality of inhaled air during cycling.
Real-time adaptive airflow is regulated automatically using both heart-rate data and ambient air quality measurements.
The entire system is powered by a hub dynamo and lithium polymer battery, eliminating the need for external charging.
Dual-output airflow enables the bicycle to deliver filtered air to the rider while simultaneously releasing purified air into the surrounding environment.
The modular architecture supports future integration with IoT devices, smartphone applications, and smart city monitoring systems.

Engineering Keywords

Air Pollution Control, Smart Mobility, Sustainable Transportation, Bicycle Engineering, HEPA Filtration, Environmental Monitoring, Embedded Systems, Renewable Energy Harvesting, Air Quality Sensors, Human-Centered Design, Internet of Things (IoT), Smart City, Mechanical Design, Arduino Nano, Adaptive Control System.

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