Intelligent intersection support for powered two-wheeled riders: a human factors perspective

Abstract

Given that intersections represent particularly hazardous situations for riders of powered two wheelers, an intelligent intersection support system has been developed. This system provides a warning whenever the rider approaches an intersection at an unsafe speed. This study reports the results of a pilot evaluation of the system from a human factors perspective. In a motorcycle simulator, the system was tested with two alternative rider interfaces: a force feedback throttle and a haptic glove. Riding with the system versions was compared with riding without support. Although the number of potentially critical situations did not decrease when using the system, the results confirm that the warnings by both system versions led to a significantly reduced approach speed to the intersection, at least in a rural scenario. The riders perceived more benefits from riding with the intersection support when the warning was transmitted by the haptic glove than when they received the alert by the force feedback throttle. Accordingly, the acceptance of the latter system version was much lower. Relevant factors for the safety potential of the intersection support system are discussed and further research needs are deduced from the limitations of the stud

Force-Sensing Glove System for Measurement of Hand Forces during Motorbike Riding

“…The raw data was logged to comma separated value (CSV) files. The software incorporates visual displays of the tactile sensors; the amount force of each hand activity is indicated with color and any emergent event is indicated with sound alarms [6]. In this research, raw data sampling was initially performed at 20 Hz, as generally suggested sampling frequency in other similar works [5, 13].…”

“…Measurement in more natural environments would increase the efficiency of various interventions [5]. Though different types of force transducers exist, tactile sensors are thin, lightweight, and flexible, making them ideal for integration into human wearable technology, which have been reported as being more efficient and user friendly in applications [6]. Tactile sensors placed on the fingertips of gloves for measuring surface hardness and pressure can be used to sense finger position [7] and recognize different objects [8].…”

“…Hence, through the motorbike activities, tactile sensors could be the most ideal for force-sensing than any other type of sensors. Due to the lack of reliable information on motorbike gloves, it is extremely important to continue research and development of relative equipment [6]. Traditionally, precise measurements of hand biomechanics (kinematics and kinetics) were made in the laboratory.…”

Motorcyclist Is the Right-of-Way Violator: A Population-Based Study of Motorcycle Right-of-Way Crash in Taiwan

“…Past studies [1][2][3][4][5] have identified motorcycle right-of-way (ROW) crash as the most typical and catastrophic carmotorcycle crash that occurs at an intersection. The crash type involves a car maneuvering into the path of an approaching motorcycle, primarily due to motorcycle's poor conspicuity or car driver's speed/distance judgment error.…”

Powered two wheelers’ workload assessment with various methods using a motorcycle simulator

“…During the past years motorcycle simulators were developed in order to investigate aspects of motorcycle rider interaction [6][7][8]. These types of motorcycle simulators are mostly used to assess human factors related topics such as hazard perception [9,10] or concepts of human-machine interfaces (HMIs) [11,12]. As the methodology of riding simulation enables testing in a safe and controlled environment, it was chosen to approach the workload assessment for motorcycle riders.…”