scholarly journals Timing performance of a self-cancelling turn-signal mechanism in motorcycles based on the ATMega328P microcontroller

2018 ◽  
Author(s):  
Adzin Kondo Nurbuwat ◽  
Kholid Yusuf Eryandi ◽  
Yuyun Estriyanto ◽  
Indah Widiastuti ◽  
Nugroho Agung Pambudi
Keyword(s):  
Turn Signal

Lampu Sein Helm Sepeda Berbasis Voice Recognition

2019 ◽  
Vol 11 (01) ◽  
pp. 20-25
Author(s):  
Indra Saputra ◽  
Parulian Silalahi ◽  
Bayu Cahyawan ◽  
Imam Akbar
Keyword(s):  
Voice Recognition ◽  
Driving Safety ◽  
Bicycle Helmet ◽  
Turn Signal ◽  
Voice Command ◽  
The Voice ◽  
Indicator Signal

Bicycles are not equipped with the turn signal. For driving safety, a bicycle helmet with a turn signal is designed with voice rrecognition. It is using the Arduino Nano as a controller to control the ON and OFF of turn signal lights with voice commands. This device uses a Voice Recognition sensor and microphone that placed on a bicycle helmet. When the voice command is mentioned in the microphone, the Voice Recognition sensor will detect the command specified, the sensor will automatically read and send a signal to Arduino, then the turn signal will light up as instructed, the Arduino on the helmet will send an indicator signal via the Bluetooth Module. The device is able to detect sound with a percentage of 80%. The tool can work with a distance of <2 meters with noise <71 db.

Effects of turn-signal colour on reaction times to brake signals

Ergonomics ◽  
1997 ◽  
Vol 40 (1) ◽  
pp. 62-68 ◽  
Author(s):  
JUHA LUOMA ◽  
MICHAEL J. FLANNAGAN ◽  
MICHAEL SIVAK ◽  
MASAMI AOKI ◽  
ERIC C. TRAUBE
Keyword(s):  
Reaction Times ◽  
Turn Signal

Evaluating the Effects of Traffic on Driver Stopping and Turn Signal Use at a Stop Sign

2007 ◽  
Vol 27 (2) ◽  
pp. 27-35 ◽  
Author(s):  
Angela R. Lebbon ◽  
John Austin ◽  
Ron Van Houten ◽  
Louis E. Malenfant
Keyword(s):  
Turn Signal ◽  
Stop Sign ◽  
Signal Use

scholarly journals Analysis of the Relationship between Turning Signal Detection and Motorcycle Driver’s Characteristics on Urban Roads; A Case Study

Sensors ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1802 ◽  
Author(s):  
Micucci ◽  
Mantecchini ◽  
Sangermano
Keyword(s):  
Ad Hoc ◽  
Test Site ◽  
Stepwise Logistic Regression ◽  
Turn Signal ◽  
Suburban Areas ◽  
Road Intersections ◽  
The Relationship ◽  
Driver’S Characteristics

The investigations on the effectiveness of the turn signal in motorcyclists understanding of motorists’ potential intentions in potentially dangerous car–motorcycle interactions and on the relationships among some variables that could influence the perception of rear and front turn signal status are examined in this paper. The investigations have been based on data pooled from the answers of a survey of 136 motorcycle riders, with special regards to the correct detection of turning indicators. Experimental videos have been realized during in-situ simulations, both in urban and suburban areas, recording vehicular interactions in three-leg road intersections, able to potentially generate crash risks, through a 360-camera mounted on a motorcyclist’s helmet. The blinkers detection rate has been combined with other factors related to motorcyclist’s characteristics and test context (e.g., age, gender, location of the test site, presence of a car behind tester vehicles and if the motorcyclist are also habitual car or bicycle drivers) in a stepwise logistic regression that modelled the odds of detecting the turn signal turned on as a function of significant factors. Within the limits of the proposed methodology, the results highlight the low percentage of correct sighting of the turn indicators and confirm the existence of a relation between the detection of the turn indicators aspect and some of the variables considered (e.g., age, being habitual cyclist or car driver and the presence of a car occluding the views), suggesting the opportunity to further investigate the phenomenon through the use of ad-hoc simulations, in order to highlight connections among the factors that can influence the perception of turning indicators in potentially dangerous contexts for cars and motorcycles.

Driver Age as a Factor in Comprehension of Left-Turn Signals

1997 ◽  
Vol 1573 (1) ◽  
pp. 76-85 ◽  
Author(s):  
Aris Drakopoulos ◽  
Richard W. Lyles
Keyword(s):  
Correct Answer ◽  
Explanatory Variable ◽  
Age Groups ◽  
Error Rates ◽  
Original Study ◽  
Older Drivers ◽  
Left Turn ◽  
Turn Signal ◽  
Right Of Way ◽  
Signal Operations

An experiment to measure driver comprehension of left-turn signal and sign configurations was conducted as part of a study to investigate the performance of left-turn signals used in various signal strategies. The responses of 191 individuals to 81 stimuli simulating left-turn signal phases were analyzed for the effect of signal message on driver comprehension. Stimuli included 17 left-turn signal displays used for permitted, protected, and protected/permitted left-turn strategies as well as left turns during nighttime or emergency flashing signal operations. Comprehension in the original study was based on a correct versus incorrect dichotomy: if the subject’s response agreed with a predetermined subset of possible answers, the answer was correct; all other answers were considered incorrect. These data are reanalyzed with three principal variations: ( a) individuals’ answers are based on a three-level correctness concept whereby answers considered incorrect in the previous study were further categorized into minor errors and serious errors depending on whether subjects incorrectly chose to “give away” their right-of-way or to violate other drivers’ right-of-way, respectively; ( b) signal message is introduced in the analysis as an explanatory variable of driver comprehension; and ( c) emphasis is placed on older drivers. Youngest, oldest, and female subjects were found to drive fewer kilometers per year than middle-aged males. Comprehension was found to deteriorate with driver age in terms of both higher serious error rates and lower correct answer rates. Flashing signals were the least well understood, whereas change and red interval stimuli were understood best by all age groups.

Investigation of Side-View Mirror Flow-Induced Vibration Phenomena

2010 ◽  
Author(s):  
Mehmet N. Tomac ◽  
Kevin Yugulis ◽  
James W. Gregory
Keyword(s):  
Vibration Measurement ◽  
Radius Of Curvature ◽  
Aerodynamic Load ◽  
Signal Design ◽  
Side View ◽  
Design Features ◽  
Flow Induced Vibration ◽  
Discrete Vortex ◽  
Turn Signal ◽  
The Impact

The primary objective of this research is to develop an understanding of the flow mechanisms which induce side-view mirror vibrations. The unsteady nature of the flow over side-view mirrors causes unsteady aerodynamic load distributions and flow-induced vibrations on the mirror assembly. These vibrations generate blurred rear-view images and higher noise levels, affecting the safety and comfort of the passengers. Geometrical design features of side-view mirrors exacerbate the flow-induced vibration levels of the mirror assembly significantly. This work quantifies the impact of these design features on the vibration amplitude; develops a methodology for testing mirror vibrations in a small, low-speed wind tunnel using only the mirror of interest; and delves into the interactions between the bluff body mirror geometry and its wake. Two similar side-view mirror designs, a baseline design and a turn-signal design, were investigated. The baseline mirror has a sharp-edged corner near the trailing edge, while the turn-signal design has an edge with an increased radius of curvature for the tip profile. A laser-based vibration measurement technique was developed and used to quantify vibration levels. Flow visualization, Particle Image Velocimetry (PIV), Constant Temperature Anemometry (CTA), and Surface Stress Sensitive Film (S3F) techniques were used to understand the separation characteristics over the mirrors since the time-dependent changes in separation location directly affect the unsteady loading on the mirror. The flow over the turn signal mirror with larger tip radius has larger excursions in the separation location, a wider wake, increased unsteadiness, and higher vibration levels. Results at the high Reynolds numbers for these test conditions indicate the absence of a discrete vortex shedding frequency. However, vortical structures in the wake are correlated with unsteady movement of the separation location.

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