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Motta, Antonella |
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Berger, Felix
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- 2023A Multiple-Input Multiple-Output Radar-Based Rider Assistance System for Personal Light Electric Vehicles
- 2022Thermodynamic Modeling and Experimental Validation of Acetic Acid Attack on Hardened Cement Paste: Effect of Silica Fumecitations
- 2020Spectroscopic near-infrared photodetectors enabled by strong light-matter coupling in (6,5) single-walled carbon nanotubescitations
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article
A Multiple-Input Multiple-Output Radar-Based Rider Assistance System for Personal Light Electric Vehicles
Abstract
<jats:p><div class="section abstract"><div class="htmlview paragraph">The use of personal light electric vehicles (PLEVs), such as electric scooters,has rapidly increased in recent years. However, their widespread use has raisedconcerns about rider safety due to their vulnerability in shared traffic spaces.To address this issue, this paper presents a radar-based rider assistance systemaimed at enhancing the safety of PLEV riders. The system consists of an adaptivefeedback system and a single-channel anti-lock braking system (ABS). Theadaptive feedback system uses multiple-input multiple-output (MIMO) radarsensors to detect nearby objects and provide real-time warnings to the riderthrough haptic, visual, and acoustic signals. The system takes into accounttraffic density and uses online data to warn about obscured objects, therebyimproving the rider’s situational awareness. Results from testing the feedbacksystem show that it effectively detects potential collisions and provideswarning signals, reducing the risk of accidents. The ABS is designed to preventdangerous braking scenarios in single-track vehicles, such as rear-wheellift-off and front-wheel locking. A virtual model was created to simulatecritical riding situations and determine suitable control parameters. Testing ofthe MiniMAB ABS in real road tests using these parameters showed that iteffectively prevented rear-wheel lift-off on high-grip roads and front-wheellocking on low-friction surfaces during emergency braking, improving ridingstability and steerability. In conclusion, the results of this study indicatethat the use of the proposed rider assistance system has the potential togreatly contribute to the safe and conflict-free shared use of traffic spaces.The system provides real-time warnings to the rider, thereby reducing the riskof accidents. The implementation of the ABS improves riding stability andsteerability, providing a safer and more pleasant riding experience. The systemoffers a new and improved solution to the growing concerns surrounding thesafety of PLEV riders.</div></div></jats:p>