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Effect of road structure on the capacity of a signalized road intersection 认领 引用 被引量：7
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作者 盘佳秀 薛郁 +1 位作者 梁玉娟 唐铁桥 《Chinese Physics B》 SCIE EI CAS 2009年第10期4169-4176,共8页
In this paper, we use the stochastic Nagel-Schreckenberg （NaSch） model to investigate the influence of a special right-turning lane connecting two main roads on the capacity of a signalized road intersection. It is ... In this paper, we use the stochastic Nagel-Schreckenberg （NaSch） model to investigate the influence of a special right-turning lane connecting two main roads on the capacity of a signalized road intersection. It is found that the magnitude of right-turning traffic flow and the linking position of the special right-turning lane can greatly influence the capacity of the signalized road intersection. The relation between traffic flow and entering probability for different distances between the entrance （exit） of the special right-turning lane and the road intersection is simulated and analysed. The corresponding spatiotemporal pattern and phase diagram on different sections of the main road are given under the condition of close proximity to the signalized road intersection, stop-and-go traffic occur and obstruct the intersection. On the contrary, unchanged flux is maintained as the distance exceeds a critical values. All the studies indicate that setting a special right-turning lane by choosing a suitable location near a signalized road intersection can relieve the load of current traffic on the main road and maintain traffic flow. 展开更多
关键词 traffic flow cellular automaton phase diagram road intersection
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Novel algorithm of traffic signals adaptive control on urban roads intersections 认领 引用 被引量：1
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作者 Huanjiong Zhang 《Journal of Highway and Transportation Research and Development(English Edition)》 2025年第1期25-28,共4页
The control of traffic flows on urban roads intersections through the traffic control signals is very important,not only does the jammed traffic statement valuably relieve and the ratio of the traffic availability inc... The control of traffic flows on urban roads intersections through the traffic control signals is very important,not only does the jammed traffic statement valuably relieve and the ratio of the traffic availability increase,but also the traffic accidents evidently decrease.In this paper,an adaptive algorithm of traffic control signals on the urban roads intersections is designed in,this new algorithm can actively adjust the concrete control times of the traffic control signals based on the perceiving information of the waiting vehicles in real time,then the dynamic balance between the traffic control signals and the traffic flows can be realized.Furthermore,through experiment testing and demonstrating,this adaptive algorithm expresses some fine performances,it also shows good application prospect in the field of smart city. 展开更多
关键词 Traffic engineering Urban road intersections Traffic control signals Perception devices Adaptive algorithm Control phases
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Investigation of the spatiotemporal variation and influencing factors on fine particulate matter and carbon monoxide concentrations near a road intersection 认领 引用 被引量：8
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作者 Zhanyong WANG Qing-Chang LU +3 位作者 Hong-Di HE Dongsheng WANG Ya GAO Zhong-Ren PENG 《Frontiers of Earth Science》 SCIE CSCD 2017年第1期63-75,共13页
The minute-scale variations of fine particulate matter （PM2.5） and carbon monoxide （CO） concentrations near a road intersection in Shanghai, China were investigated to identify the influencing factors at three tra... The minute-scale variations of fine particulate matter （PM2.5） and carbon monoxide （CO） concentrations near a road intersection in Shanghai, China were investigated to identify the influencing factors at three traffic periods. Measurement results demonstrate a synchronous variation of pollutant concentrations at the roadside and setbacks, and the average concentration of PM2.5 at the roadside is 7% （44% for CO） higher than that ofsethacks within 500 m of the intersection. The pollution level at traffic peak periods is found to be higher than that of off-peak periods, and the morning peak period is found to be the most polluted due to a large amount of diesel vehicles and unfavorable dispersion conditions. Partial least square regressions were constructed for influencing factors and setback pollutant concentrations, and results indicate that meteorological factors are the most significant, followed by setback distance from the intersection and traffic factors. CO is found to be sensitive to distance from the traffic source and vehicle type, and highly dependent on local traffic conditions, whereas PM2.5 originates more from other sources and background levels. These findings demonstrate the importance of localized factors in understanding spatiotemporal patterns of air pollution at intersections, and support decision makers in roadside pollution management and control. 展开更多
关键词 traffic-related pollutants fine-scale variation distance gradient meteorology road intersection
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Estimation of Vehicle Pose and Position with Monocular Camera at Urban Road Intersections 认领 引用 被引量：3
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作者 Jin-Zhao Yuan Hui Chen +1 位作者 Bin Zhao Yanyan Xu 《Journal of Computer Science & Technology》 SCIE EI CSCD 2017年第6期1150-1161,共12页
With the rapid development of urban, the scale of the city is expanding day by day. The road environment is becoming more and more complicated. The vehicle ego-localization in complex road environment puts forward imp... With the rapid development of urban, the scale of the city is expanding day by day. The road environment is becoming more and more complicated. The vehicle ego-localization in complex road environment puts forward imperative requirements for intelligent driving technology. The reliable vehicle ego-localization, including the lane recognition and the vehicle position and attitude estimation, at the complex traffic intersection is significant for the intelligent driving of the vehicle. In this article, we focus on the complex road environment of the city, and propose a pose and position estimation method based on the road sign using only a monocular camera and a common GPS （global positioning system）. Associated with the multi-sensor cascade system, this method can be a stable and reliable alternative when the precision of multi-sensor cascade system decreases. The experimental results show that, within 100 meters distance to the road signs, the pose error is less than 2 degrees, and the position error is less than one meter, which can reach the lane-level positioning accuracy. Through the comparison with the Beidou high-precision positioning system L202, our method is more accurate for detecting which lane the vehicle is driving on. 展开更多
关键词 vehicle pose and position estimation road sign detection homograph matrix road intersection urban envi-ronment
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A novel method for road network mining from floating car data 认领 引用 被引量：8
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作者 Yuan Guo Bijun Li +1 位作者 Zhi Lu Jian Zhou 《Geo-Spatial Information Science》 SCIE EI CSCD 2022年第2期197-211,共15页
Vehicles have been increasingly equipped with GPS receivers to record their trajectories,which we call floating car data.Compared with other data sources,these data are characterized by low cost,wide coverage,and rapi... Vehicles have been increasingly equipped with GPS receivers to record their trajectories,which we call floating car data.Compared with other data sources,these data are characterized by low cost,wide coverage,and rapid updating.The data have become an important source for road network extraction.In this paper,we propose a novel approach for mining road networks from floating car data.First,a Gaussian model is used to transform the data into bitmap,and the Otsu algorithm is utilized to detect road intersections.Then,a clothoid-based method is used to resample the GPS points to improve the clustering accuracy,and the data are clustered based on a distance-direction algorithm.Last,road centerlines are extracted with a weighted least squares algorithm.We report on experiments that were conducted on floating car data from Wuhan,China.To conclude,existing methods are compared with our method to prove that the proposed method is practical and effective. 展开更多
关键词 GPS trajectory floating car data road intersection extraction data clustering
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Research on the Optimization Design of Intersections for Safe Operation of Large Trucks 认领 引用
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作者 Yujie Bao Pincheng Wang Yuhang Li 《Journal of Information Hiding and Privacy Protection》 2020年第3期143-154,共12页
When big trucks are running at urban road intersections,they are easy to interfere with other motor vehicles,and the turning big trucks are easy to have conflicts with non-motor vehicles and pedestrians,which will aff... When big trucks are running at urban road intersections,they are easy to interfere with other motor vehicles,and the turning big trucks are easy to have conflicts with non-motor vehicles and pedestrians,which will affect the safety of intersections.This paper first studied the intersection of trucks to the running trajectory,on this basis,through the establishment of mathematical model analysis of large truck steering conditions inside the wheel,and the influence of blind area to the driver.In the research of intersection safety design,the safety design is divided into three parts:Entrance road,internal operation and signal control.At the same time,the design method of the entrance road,the interior of the intersection and the signal control is given,which improves the safety of the truck driving at the intersection.Finally,the intersection of Jungong road and Zhoujiazui road in Yangpu district of Shanghai was selected as a case,and the optimal design of the intersection for large trucks was carried out through the investigation and analysis of actual data.The evaluation and analysis were carried out by using the multi-index matter-element model.The results show that the comprehensive safety correlation degree of the intersection is reduced to 0.42,and the safety level of is improved by one level. 展开更多
关键词 Large truck city road intersection safety design safety operation inner wheel difference blind area
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Enhancing Road Drainage Systems for Extreme Storms:Integration of a High-Precision Flow Diversion Module into SWMM Code 认领 引用
7
作者 Yuting Ren Zhiyu Shao +6 位作者 Qi Zhang Wang Feng Lei Xu Huafeng Gong Scott Yost Lei Chen Hongxiang Chai 《International Journal of Disaster Risk Science》 SCIE CSCD 2024年第5期789-802,共14页
Urban road networks function as surface passage for floodwater transport during extreme storm events to reduce potential risks in the city.However,precise estimation of these flow rates presents a significant challeng... Urban road networks function as surface passage for floodwater transport during extreme storm events to reduce potential risks in the city.However,precise estimation of these flow rates presents a significant challenge.This difficulty primarily stems from the intricate three-dimensional flow fields at road intersections,which the traditional one-dimensional models,such as Storm Water Management Model(SWMM),fail to precisely capture.The two-dimensional and three-dimensional hydraulic models are overly complex and computationally intensive and thus not particularly efficient.This study addresses these issues by integrating a semiempirical flow diversion formula into the SWMM source code.The semiempirical formula,derived from hydraulic experiments and computational fluid dynamics simulations,captures the flow dynamics at T-shaped intersections.The modified SWMM's performance was evaluated against experimental data,and the original SWMM,the two-dimensional MIKE21,and the three-dimensional FLUENT models.The results indicate that the modified SWMM matches the precision of the two-dimensional MIKE21,while significantly reducing computational time.Compared to MIKE21,this study achieved a Nash-Sutcliffe efficiency of 0.9729 and a root mean square error of 0.042,with computational time reduced by 99%.The modified SWMM is suitable for real-sized urban road networks.It provides a high-precision tool for urban road drainage system computation that is crucial for effective stormwater management. 展开更多
关键词 Extreme storms Major drainage system Road intersection SWMM(Storm Water Management Model) Urban road flooding
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