A technology for unintended lane departure warning was proposed. As crucial information, lane boundaries were detected based on principal component analysis of grayscale distribution in search bars of given number and...A technology for unintended lane departure warning was proposed. As crucial information, lane boundaries were detected based on principal component analysis of grayscale distribution in search bars of given number and then each search bar was tracked using Kalman filter between frames. The lane detection performance was evaluated and demonstrated in ways of receiver operating characteristic, dice similarity coefficient and real-time performance. For lane departure detection, a lane departure risk evaluation model based on lasting time and frequency was effectively executed on the ARM-based platform. Experimental results indicate that the algorithm generates satisfactory lane detection results under different traffic and lighting conditions, and the proposed warning mechanism sends effective warning signals, avoiding most false warning.展开更多
A large number of reported road collisions are caused by driver inattention,and inappropriate driving behaviour.This study investigated the effectiveness and acceptance of Advanced Driving Assistance Systems(ADAS)for ...A large number of reported road collisions are caused by driver inattention,and inappropriate driving behaviour.This study investigated the effectiveness and acceptance of Advanced Driving Assistance Systems(ADAS)for driver age groups,gender,occupation(professional/non-professional),and road type(expressway,urban roads,and semi-urban road)based on the Field Operational Test(FOT).The ADAS is provided with assistance features,such as Lane Departure Warning(LDW),Forward Collision Warning(FCW),and Traffic Speed Recognition Warning(TSRW).In total,the FOT involved 30 participants who drove the test vehicle twice(once in the stealth phase and once in the active phase).The FOT included three sections:expressway(20.60 km),urban road(7.2 km),and semi-urban road(13.35 km).A questionnaire was used to determine user acceptance of the ADAS technology.In addition,parametric and non-parametric statistical tests were carried out to determine ADAS's significant effects.The FOT results showed statistically significant differences in the LDW’s acceptance and effectiveness for gender,age group,occupation,and road type before and after exposure to ADAS.Male participants showed significant lateral behavior improvement compared to female participants.Old-aged drivers scored the highest acceptance score for the technology compared to middle and young-aged drivers.The subjective ratings ranked the assistance features in descending order as TSRW,LDW,and FCW.This study’s findings can support policy development and induce trust in the public for the technology adoption to improve road traffic safety.展开更多
Purpose–The purpose of this paper is to develop a lane detection analysis algorithm by Hough transform and histogram shapes,which can effectively detect the lane markers in various lane road conditions,in driving sys...Purpose–The purpose of this paper is to develop a lane detection analysis algorithm by Hough transform and histogram shapes,which can effectively detect the lane markers in various lane road conditions,in driving system for drivers.Design/methodology/approach–Step 1:receiving image:the developed system is able to acquire images from video files.Step 2:splitting image:the system analyzes the splitting process of video file.Step 3:cropping image:specifying the area of interest using crop tool.Step 4:image enhancement:the system conducts the frame to convert RGB color image into grayscale image.Step 5:converting grayscale image to binary image.Step 6:segmenting and removing objects:using the opening morphological operations.Step 7:defining the analyzed area within the image using the Hough transform.Step 8:computing Houghline transform:the system operates the defined segment to analyze the Houghline transform.Findings–This paper presents the useful solution for lane detection by analyzing histogram shapes and Hough transform algorithms through digital image processing.The method has tested on video sequences filmed by using a webcam camera to record the road as a video file in a form of avi.The experimental results show the combination of two algorithms to compare the similarities and differences between histogram and Hough transform algorithm for better lane detection results.The performance of the Hough transform is better than the histogram shapes.Originality/value–This paper proposed two algorithms by comparing the similarities and differences between histogram shapes and Hough transform algorithm.The concept of this paper is to analyze between algorithms,provide a process of lane detection and search for the algorithm that has the better lane detection results.展开更多
The aim of the paper is to evaluate the impacts of bus lane on bus travel time reliability.The data used are the Geographic Positioning System(GPS) data of two bus lines running parallel streets in Shenzhen,China,one ...The aim of the paper is to evaluate the impacts of bus lane on bus travel time reliability.The data used are the Geographic Positioning System(GPS) data of two bus lines running parallel streets in Shenzhen,China,one of which is a bus lane and the other is a regular lane.Two linear regression models are developed to evaluate the influence of bus lane which has a separated right of way.Other factors including running direction,day of week,time of day,dwell time,and delay at the start point are also considered in the model.Without published time tables,coefficient of variance(CV) of travel time is employed to explore the impacts of bus lane.The results indicate that bus lane can save 22.0% of travel time,reduce 11.5% of the CV of travel time,and decrease the variance of headway by 17.4%.The analysis on bus travel time reliability could help operators and drivers improve the quality of transit service.It also sheds light on how to assess the effectiveness of bus lane for transit planners and service operators.展开更多
The structural evolution of systems with two kinds of particles driven in opposite directions, i.e., driven by a color field, is investigated by molecular dynamics simulations. Gaussian thermostat, a common treatment ...The structural evolution of systems with two kinds of particles driven in opposite directions, i.e., driven by a color field, is investigated by molecular dynamics simulations. Gaussian thermostat, a common treatment to restrict the thermal velocity of the particles in the systems, has been used so as to account for the dissipation of heat and allow the system to reach a steady state. It has been found that with the increase of the strength of driving force （F）, the system undergoes an obvious structural transition from an initially random mixing state to a state characterized by separate lanes and in each lane only one kind of particles exists. The analysis shows that the reason for the formation of lane structure is not only the increase of F but also the variation of particle friction coefficient. While using Gaussian thermostat the particle friction coefficient becomes a function of F. Increasing F leads to high particle friction coefficient and inevitably results in lane formation for strong enough driving force. When lifting the effect of F on friction coefficient and choosing a constant friction coefficient, our results show that for a given F there always exists a critical value of friction coefficient higher than which the system will develop into lane structure.展开更多
Priority of public transport is one of the important means to enhance the attraction of ground public transportation, and also an important content in the construction of a public transport city. In recent years, Beij...Priority of public transport is one of the important means to enhance the attraction of ground public transportation, and also an important content in the construction of a public transport city. In recent years, Beijing has witnessed large-scale construction of Bus Lane. Based on the current situation that the construction of Bus Lane lacks scientific decision-making methods, this study establishes the time sequence evaluation indicator system for the construction of Bus Lane by analyzing the influencing factors, builds a ranking model of the importance degree of the construction of Bus Lane, and conducts case verification.展开更多
A visual object-oriented software for lane following on intelligent highway system (IHS) is proposed. According to object-oriented theory, 3 typical user services of self-check, transfer of human driving and automatic...A visual object-oriented software for lane following on intelligent highway system (IHS) is proposed. According to object-oriented theory, 3 typical user services of self-check, transfer of human driving and automatic running and abnormal information input from the sensors are chosen out. In addition, the functions of real-time display, information exchanging interface, determination and operation interweaving in the 3 user services are separated into 5 object-oriented classes. Moreover, the 5 classes are organized in the visual development environment. At last, experimental result proves the validity and reliability of the control application.展开更多
基金Project(51175159)supported by the National Natural Science Foundation of ChinaProject(2013WK3024)supported by the Science andTechnology Planning Program of Hunan Province,ChinaProject(CX2013B146)supported by the Hunan Provincial InnovationFoundation for Postgraduate,China
文摘A technology for unintended lane departure warning was proposed. As crucial information, lane boundaries were detected based on principal component analysis of grayscale distribution in search bars of given number and then each search bar was tracked using Kalman filter between frames. The lane detection performance was evaluated and demonstrated in ways of receiver operating characteristic, dice similarity coefficient and real-time performance. For lane departure detection, a lane departure risk evaluation model based on lasting time and frequency was effectively executed on the ARM-based platform. Experimental results indicate that the algorithm generates satisfactory lane detection results under different traffic and lighting conditions, and the proposed warning mechanism sends effective warning signals, avoiding most false warning.
文摘A large number of reported road collisions are caused by driver inattention,and inappropriate driving behaviour.This study investigated the effectiveness and acceptance of Advanced Driving Assistance Systems(ADAS)for driver age groups,gender,occupation(professional/non-professional),and road type(expressway,urban roads,and semi-urban road)based on the Field Operational Test(FOT).The ADAS is provided with assistance features,such as Lane Departure Warning(LDW),Forward Collision Warning(FCW),and Traffic Speed Recognition Warning(TSRW).In total,the FOT involved 30 participants who drove the test vehicle twice(once in the stealth phase and once in the active phase).The FOT included three sections:expressway(20.60 km),urban road(7.2 km),and semi-urban road(13.35 km).A questionnaire was used to determine user acceptance of the ADAS technology.In addition,parametric and non-parametric statistical tests were carried out to determine ADAS's significant effects.The FOT results showed statistically significant differences in the LDW’s acceptance and effectiveness for gender,age group,occupation,and road type before and after exposure to ADAS.Male participants showed significant lateral behavior improvement compared to female participants.Old-aged drivers scored the highest acceptance score for the technology compared to middle and young-aged drivers.The subjective ratings ranked the assistance features in descending order as TSRW,LDW,and FCW.This study’s findings can support policy development and induce trust in the public for the technology adoption to improve road traffic safety.
基金This research has been financially granted by National Research Council of Thailand(NRCT,Thailand),Contact No.KMUTNB-GOV-58-46.
文摘Purpose–The purpose of this paper is to develop a lane detection analysis algorithm by Hough transform and histogram shapes,which can effectively detect the lane markers in various lane road conditions,in driving system for drivers.Design/methodology/approach–Step 1:receiving image:the developed system is able to acquire images from video files.Step 2:splitting image:the system analyzes the splitting process of video file.Step 3:cropping image:specifying the area of interest using crop tool.Step 4:image enhancement:the system conducts the frame to convert RGB color image into grayscale image.Step 5:converting grayscale image to binary image.Step 6:segmenting and removing objects:using the opening morphological operations.Step 7:defining the analyzed area within the image using the Hough transform.Step 8:computing Houghline transform:the system operates the defined segment to analyze the Houghline transform.Findings–This paper presents the useful solution for lane detection by analyzing histogram shapes and Hough transform algorithms through digital image processing.The method has tested on video sequences filmed by using a webcam camera to record the road as a video file in a form of avi.The experimental results show the combination of two algorithms to compare the similarities and differences between histogram and Hough transform algorithm for better lane detection results.The performance of the Hough transform is better than the histogram shapes.Originality/value–This paper proposed two algorithms by comparing the similarities and differences between histogram shapes and Hough transform algorithm.The concept of this paper is to analyze between algorithms,provide a process of lane detection and search for the algorithm that has the better lane detection results.
文摘The aim of the paper is to evaluate the impacts of bus lane on bus travel time reliability.The data used are the Geographic Positioning System(GPS) data of two bus lines running parallel streets in Shenzhen,China,one of which is a bus lane and the other is a regular lane.Two linear regression models are developed to evaluate the influence of bus lane which has a separated right of way.Other factors including running direction,day of week,time of day,dwell time,and delay at the start point are also considered in the model.Without published time tables,coefficient of variance(CV) of travel time is employed to explore the impacts of bus lane.The results indicate that bus lane can save 22.0% of travel time,reduce 11.5% of the CV of travel time,and decrease the variance of headway by 17.4%.The analysis on bus travel time reliability could help operators and drivers improve the quality of transit service.It also sheds light on how to assess the effectiveness of bus lane for transit planners and service operators.
基金supports on this work from Nation Natural Science Foundation of China under the grants Nos. 20336040, 20490201 and 20221603the Chinese Academy of Sciences under the grants KJCX-SW-L08 and KJCX3-SYW-S01.
文摘The structural evolution of systems with two kinds of particles driven in opposite directions, i.e., driven by a color field, is investigated by molecular dynamics simulations. Gaussian thermostat, a common treatment to restrict the thermal velocity of the particles in the systems, has been used so as to account for the dissipation of heat and allow the system to reach a steady state. It has been found that with the increase of the strength of driving force （F）, the system undergoes an obvious structural transition from an initially random mixing state to a state characterized by separate lanes and in each lane only one kind of particles exists. The analysis shows that the reason for the formation of lane structure is not only the increase of F but also the variation of particle friction coefficient. While using Gaussian thermostat the particle friction coefficient becomes a function of F. Increasing F leads to high particle friction coefficient and inevitably results in lane formation for strong enough driving force. When lifting the effect of F on friction coefficient and choosing a constant friction coefficient, our results show that for a given F there always exists a critical value of friction coefficient higher than which the system will develop into lane structure.
文摘Priority of public transport is one of the important means to enhance the attraction of ground public transportation, and also an important content in the construction of a public transport city. In recent years, Beijing has witnessed large-scale construction of Bus Lane. Based on the current situation that the construction of Bus Lane lacks scientific decision-making methods, this study establishes the time sequence evaluation indicator system for the construction of Bus Lane by analyzing the influencing factors, builds a ranking model of the importance degree of the construction of Bus Lane, and conducts case verification.
文摘A visual object-oriented software for lane following on intelligent highway system (IHS) is proposed. According to object-oriented theory, 3 typical user services of self-check, transfer of human driving and automatic running and abnormal information input from the sensors are chosen out. In addition, the functions of real-time display, information exchanging interface, determination and operation interweaving in the 3 user services are separated into 5 object-oriented classes. Moreover, the 5 classes are organized in the visual development environment. At last, experimental result proves the validity and reliability of the control application.
