scholarly journals The Relationship of the Information Quantity of Urban Roadside Traffic Signs and Drivers’ Visibility Based on Information Transmission

2021 ◽  
Vol 18 (20) ◽  
pp. 10976
Author(s):  
Kun Liu ◽  
Hongxing Deng
Keyword(s):  
Visual Recognition ◽  
Information Overload ◽  
Road Traffic ◽  
Influence Factors ◽  
Urban Traffic ◽  
Traffic Sign ◽  
Information Quantity ◽  
Traffic Signs ◽  
Experienced Driver ◽  
The Relationship

For the lack of quantitative basis of traffic sign combination information, this paper established a model of information quantity of urban road traffic signs by analyzing the driver’s information processing and the visual recognition of traffic signs combined with theories of informatics. It used various analytical methods to build a model of the relationship between the traffic sign information quantity (TSIQ) and the driver’s visual recognition. Based on factors, the relationship between the TSIQ and the driver’s visual recognition was studied and analyzed to provide a reference for the design of urban traffic sign layout information. The results show that the TSIQ can explain 61% of the driver’s recognition time (DRT). The more information the road traffic sign conveys, the longer DRT will be. The TSIQ’s threshold is 642 bits, and exceeding this value will cause information overload. Different influence factors have a certain impact on drivers’ visual recognition distance (VRD). The male VRD is shorter than the female. The VRD of the young driver is larger than the old driver. The VRD of a novice driver is longer than an experienced driver, while the visual recognition sign of an experienced driver is shorter.

Influence of text luminance, text colour and background luminance of variable-message signs on legibility in urban areas at night

2020 ◽  
pp. 147715352095846 ◽  
Author(s):  
Y He ◽  
Y Li ◽  
L Xing ◽  
Z Qiu ◽  
X Zhang
Keyword(s):  
Traffic Control ◽  
Urban Areas ◽  
Visual Recognition ◽  
Road Traffic ◽  
Background Luminance ◽  
Traffic Sign ◽  
Night Time ◽  
Variable Message Signs ◽  
Variable Message Sign ◽  
Message Signs

Variable-message signs, which are an important type of traffic sign, have been widely used in traffic control. This study examines the influence of text luminance, text colour and background luminance of variable-message signs on legibility in urban areas under night-time vision. First, the background luminance of variable-message signs in typical urban areas is investigated, tested and classified as high, medium or low depending on the obtained values (3.0, 1.0 or 0.1 cd/m2, respectively). Second, a calculation model is established for the experimental visual recognition distance under different visual acuity conditions, the experimental luminance interval is determined based on psychophysical magnitude perceived, and a legibility experiment is performed using Landolt-C rings. Finally, the reasonable luminance interval (minimum [replacement] luminance), optimal luminance and changing trends of luminance for red, green and yellow colours under different background luminances are obtained such that the legibility requirement is satisfied. The results indicated that different colours have different luminance interval and optimal luminance under different background luminances. This study is of great importance in determining the reasonable luminance of variable-message sign texts and improving the safety and efficiency of road traffic. In the future, these research results are expected to serve as guidelines for variable-message sign setup and management.

scholarly journals THE RELATIONSHIP BETWEEN TRAFFIC SIGN COMPREHENSION AND RISKY TRAFFIC BEHAVIORS

2021 ◽  
Vol 9 (22) ◽  
Keyword(s):  
Aggressive Behaviors ◽  
Traffic Sign ◽  
Traffic Signs ◽  
Driving Experience ◽  
Road Users ◽  
Positive Behaviors ◽  
Driver's License ◽  
Unsafe Behaviors ◽  
And Gender ◽  
The Relationship

The current study investigates the relationship between risky traffic behaviors and traffic sign comprehension (TSC). It is hypothesized that, as traffic sign comprehension increases, unsafe traffic behaviors decrease. The data were collected online through Qualtrics from 275 participants, 177 of whom were drivers. The questionnaire package included 25 open-ended traffic sign questions, Pedestrian Behavior Scale, Mini-Driver Behavior Questionnaire with 3 additional aggressive violation items, and a demographic information form. The results indicated that TSC was significantly related to reported driver errors and lapses after controlling for age and gender. In addition, pedestrian-related TSC was significantly related to reported pedestrian transgressions, lapses, aggressive behaviors, and positive behaviors after controlling for age, gender, driver's license, and driving experience. Generally, the results were consistent with the expectations: the better that road users (drivers and pedestrians) understand traffic signs, the fewer drivers and pedestrians reported unsafe behaviors (errors and lapses for drivers; transgressions, aggressive behaviors, and lapses for pedestrians), and the more pedestrians reported positive behaviors. This finding can be explained by the fact that as the need of people to understand traffic signs increases, they avoid behaviors that will lead to accidents in traffic. For this reason, it can be predicted that comprehensively introducing children to traffic signs from an early age will contribute positively to road safety.

scholarly journals Assessment of Traffic Sign Comprehension Levels among Drivers in the Emirate of Abu Dhabi, UAE

2021 ◽  
Vol 6 (9) ◽  
pp. 122
Author(s):  
Taleb M. Al-Rousan ◽  
Abdullahi A. Umar
Keyword(s):  
Road Traffic ◽  
Warning Signs ◽  
Abu Dhabi ◽  
Driver Education ◽  
Traffic Sign ◽  
Traffic Signs ◽  
The Road ◽  
Road Signs ◽  
Smooth Flow ◽  
Traffic Violations

Road traffic signs are part of the road infrastructure components meant to ensure the safe use of roads by motorists and pedestrians alike. A good knowledge and comprehension of road signs helps ensure smooth flow of traffic, improves safety for other motorists and provides drivers with good reaction time to comply with the message dictated by the signs. Abu Dhabi, being the capital of the UAE, brings together people from all over the world for work, business or tourism. Abu Dhabi has quality roads and traffic signage together with an efficient police force that enforces adherence to traffic rules. Despite all these and the reduced fatalities in absolute terms, traffic violations have been increasing exponentially, resulting in five million traffic fines in 2019 for a population of about 2.9 million inhabitants. This study sought to assess motorists’ comprehension of the various traffic signs used across the UAE. The results of the survey (N = 200) revealed that the drivers were able to correctly identify 77% of the road signs in the survey. It was also found that the respondents failed to correctly identify traffic signs within the specific category referred to as “advance warning signs”. Respondents’ education, nationality, gender, and marital status did not have any statistically significant effects on the results compared to earlier studies. It is recommended that more attention be focused on driver education and training.

scholarly journals Urban Road Traffic Sign Detection & Recognition with Time Space Relationship Model

2021 ◽  
Vol 4 (1) ◽  
pp. 22-33
Author(s):  
Bhutto Jaseem Ahmed ◽  
Qin Bo ◽  
Qu Jabo ◽  
Zhai Xiaowei ◽  
Abdullah Maitlo
Keyword(s):  
Real Time ◽  
Road Traffic ◽  
Traffic Sign ◽  
Traffic Signs ◽  
Urban Road ◽  
Time Space ◽  
Sign Detection ◽  
Relationship Model ◽  
Traffic Sign Detection ◽  
Detection And Recognition

Detection and recognition of urban road traffic signs is an important part of the Modern Intelligent Transportation System (ITS). It is a driver support function which can be used to notify and warn the driver for any possible incidence on the current stretch of road. This paper presents a robust and novel Time Space Relationship Model for high positive urban road traffic sign detection and recognition for a running vehicle. There are three main contributions of the proposed framework. Firstly, it applies fast color-segment algorithm based on color information to extract candidate areas of traffic signs and reduce the computation load. Secondly, it verifies the traffic sign candidate areas to decrease false positives and raise the accuracy by analysing the variation in preceding video-images sequence while implementing the proposed Time Space Relationship Model. Lastly, the classification is done with Support Vector Machine with dataset from real-time detection of TSRM. Experimental results indicate that the accuracy, efficiency, and the robustness of the framework are satisfied on urban road and detect road traffic sign in real time.

Individual Differences and the Perception of Traffic Signs

1978 ◽  
Vol 20 (1) ◽  
pp. 65-74 ◽  
Author(s):  
Robert Loo
Keyword(s):  
Traffic Accidents ◽  
Reaction Times ◽  
Traffic Sign ◽  
Traffic Signs ◽  
Driving Experience ◽  
Embedded Figures Test ◽  
Eysenck Personality Inventory ◽  
Field Independent ◽  
The Relationship ◽  
Experience Questionnaire

The study focused on the relationship between field dependence and the ability to perceive traffic signs in embedded and disembedded contexts as measured by verbal reaction times. Intercorrelations among the reaction times, personality measures, and driving record items were also tested. Twenty-eight females were blocked into four quartiles according to their score on the Group Embedded Figures Test. Subjects completed the traffic-sign task, the Eysenck Personality Inventory, and a driving experience questionnaire. Field-dependent subjects had longer reaction times to embedded traffic signs and more traffic accidents than did field-independent subjects. Also, extraverts had longer reaction times to the embedded traffic signs, more accidents, and more traffic convictions than introverts. No relationships were found for neuroticism.

scholarly journals Study on the Deocclusion of the Visibility Window of Traffic Signs on a Curved Highway

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Jian Xiao ◽  
Jian Zhao ◽  
Liulin Yang ◽  
Juanxia He ◽  
Yu Li ◽  
...  
Keyword(s):  
Crucial Role ◽  
Visual Recognition ◽  
Driving Safety ◽  
Complex Topography ◽  
Traffic Sign ◽  
Traffic Signs ◽  
Design Formula ◽  
Horizontal Alignment ◽  
Visual Occlusion

Highway navigation is often affected by complex topography, and the flat curve plays an important role in the horizontal alignment design of a highway. Many curves are formed, where visibility could be decreased. Thus, the indicative function of a traffic sign plays a crucial role in ensuring driving safety at the curve. Due to the blocked visibility, the probability of the traffic sign occlusion at the curve of operating highways is quite high. It is urgent to consider the clearing obstructions around traffic signs at curves during highway construction. In this study, the potential of visual occlusion for traffic signs on curved highways was investigated. Firstly, the driver’s visibility window that contains traffic signs was defined and criteria of visual occlusion were proposed. Secondly, a geometric occlusion design formula was established to mimic the visual recognition process of traffic signs on a curved highway, yielding the formula to calculate the visibility window. Finally, the occlusion design formula was applied into a case study of the Beijing-Hong Kong-Macau Expressway (Hunan section), in which visibility windows were calculated and analyzed. The obtained results verified the correctness and effectiveness of the occlusion design formula developed in this study.

Research on Residents’ Trip Structure Based on Low Carbon Transport Mode

2015 ◽  
Vol 744-746 ◽  
pp. 2115-2119
Author(s):  
Jie Chao ◽  
Jing Yi Sun
Keyword(s):  
Analytical Hierarchy Process ◽  
Influence Factors ◽  
Indicator System ◽  
Urban Traffic ◽  
Low Carbon ◽  
Department Of Transportation ◽  
Traffic Jam ◽  
Hierarchy Process ◽  
The Relationship ◽  
Carbon Transport

In order to ease the traffic problem, traffic jam, safety and pollution, arisen and been getting serious with urban development, low carbon transport was used generally on building frame of urban traffic. Based on deep research and analyze for the relationship between low carbon transport and the urban, the essay discussed the residents’ trip structure under plans of low carbon transport.Building the indicator system that the influence factors of residents’ trip structure under plans of low carbon transport was the first and key progress. Meanwhile, Analytical Hierarchy Process was used to the importance of each factor. Better frame was built by finished steps. With the frame, probability theory was used by analyzing options for residents’ trip structure option. And low carbon transport demonstration area of Kunming Chenggong was chosen to be the case that offered a real environment to test the model. The test proved that the model can guide the residents’ trip structure, which provided an outline to the department of transportation.

scholarly journals Real-Time Detection and Recognition of Road Traffic Signs using MSER and Random Forests

2018 ◽  
Vol 14 (03) ◽  
pp. 34 ◽  
Author(s):  
Xianyan Kuang ◽  
Wenbin Fu ◽  
Liu Yang
Keyword(s):  
Real Time ◽  
Random Forests ◽  
Road Traffic ◽  
Contrast Ratio ◽  
Region Of Interest ◽  
Traffic Sign ◽  
Data Set ◽  
Traffic Signs ◽  
Real Time Detection ◽  
Detection And Recognition

Real-time detection and recognition of road traffic signs plays an important role in advanced driving assistance system. Typically, the region of interest (ROI) method is effective in feature extraction but inefficient because it is sensitive to illumination changes. In this paper, we propose a maximally stable extremal regions (MSER) method with image enhancement to greatly improve ROI. Firstly, we employ gray world algorithm to process original images. And then potential areas of traffic signs are obtained through increasing the image contrast ratio and extracting the image-enhanced MSER. According to the characteristic variable and the geometry moment invariants, the geometric characteristics of traffic signs are extracted to obtain the ROIs. Finally, HSV-HOG-LBP feature is constructed and the random forests algorithm is used to identify the traffic signs. The experimental results show that our proposed method show strong robustness on illumination condition and rotation scale, and achieves a good performance by experiments with actual images and German traffic sign detection benchmark (GTSDB) data set.

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