Yinli Jin

Yinli Jin
Chang'an University · School of Electronics and Control Engineering

Doctor of Engineering

About

29
Publications
7,465
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
197
Citations

Publications

Publications (29)
Article
Full-text available
Road weather conditions are closed-related to the transportation safety and traffic capacity. With the development of road surveillance systems, weather conditions could be recognized from video. However, it is hard to be detected by machine. To address it, a deeply supervised convolution neural network (DS-CNN) is designed and trained on a self-es...
Article
Both road users and road administrators are keen to know traffic flow of fine-grained vehicle type. Successful prediction on the traffic flow of heavy, medium and small vehicle could contribute to the improvement of travel safety and efficiency. However, the classification on vehicle type is always not accurate enough using in practice. It could co...
Article
Full-text available
Traffic congestion detection plays an important role for road management. However, it is difficult to automatically report traffic congestion when it occurs in large-scale road network. One of key challenges for rapidly and precisely identifying early congestion is huge variations in appearance caused by illumination, weather, camera settings and o...
Article
Full-text available
In order to promote travel safety and efficiency, many management staff are engaged to provide service to avoid long queues. Those manpower demands unavoidably introduce overstaffing, which is a great waste during off-peak period. However, it is not easy to precisely forecast the traffic flow to better arrange road management manpower and eliminate...
Conference Paper
Poor visibility in bad weather has significant impacts on traffic safety. An ability to accurately monitor visibility can help reduce the driving risk under this condition. However, visibility measuring based on sensors are precise but costly, and measuring based on vision are lower cost but more complicated in training and deployment. This paper p...
Article
Full-text available
Traffic conditions of truck flow is one of the critical factors influencing transportation safety and efficiency, which is directly related to traffic accidents, maintenance scheduling, traffic flow interruption, risk control and management, etc. Estimation of the truck flow of various types could be better to identify the irregular flow variation...
Conference Paper
The organization and management of emergency scenarios is an important task that could prevent a huge loss of lives and property. Fast and reliable decisions would minimize the impact of the accident. Current decision making mainly relies on the experience of emergency personnel. It is hard to make suitable decisions immediately according to the si...
Article
Full-text available
Both road users and administrators are keen to know the traffic volume at the arbitrary point on the road network. In China, charging systems have been fully established in closed large-regional freeway networks. They have accumulated massive amounts of toll collection data and provided a possible method to forecast unknown traffic volume at any de...
Article
Full-text available
In order to forecast the traffic flow more precisely, a novel hybrid model is proposed with multiple source of traffic data in spatiotemporal dimension. In the practical application of the proposed model, multiple source of data are captured and fused from five toll collection gates and one remote microwave sensor based on the correlation analysis....
Article
Full-text available
When a table tennis ball is hit by a racket, the ball spins and undergoes a complex trajectory in the air. In this article, a model of a spinning ball is proposed for simulating and predicting the ball flight trajectory including the topspin, backspin, rightward spin, leftward spin, and combined spin. The actual trajectory and rotational motion of...
Article
Full-text available
Despite the huge amount of traffic surveillance videos and images have been accumulated in the daily monitoring, deep learning approaches have been underutilized in the application of traffic intelligent management and control. In this paper, traffic images including various illumination, weather conditions, and vast scenarios are extracted from th...
Conference Paper
The occurrence of freeway traffic incidents usually leads to serious traffic congestion. Travel time can be used to estimate the location, duration, and influence of traffic incidents occurring on a freeway network. However, the reliability of travel time can be weakened if the travel distance increases even though no incidents occur. Therefore, it...
Conference Paper
To improve the logistics efficiency of fresh agricultural products in China, the “green channel” circulation network has been established on the national freeway network. Tolls for vehicles that legally load agricultural products can be discounted or free. Such vehicles are called “toll-free logistics vehicles” (TFLVs). Highway administrators spend...
Article
In the situation of an uncertain probability of distribution clusters, the model of highway travel time reliability based on wavelet density estimation is proposed to overcome the shortcomings of traditional parameter methods where accuracy depends on the distribution hypotheses. The results show that wavelet density estimation (WDE) is superior to...
Article
Traditional color histogram MeanShift (MS) algorithm only considered object's color statistical information, and didn't contain object's space information, so when the object color was close to the background color, the traditional MS algorithm easily caused object's tracking inaccurately or lost. Aimmed at this issue, a novel MeanShift tracking al...
Conference Paper
Traditional color histogram MeanShift (MS) algorithm only considered object's color statistical information, and didn't contain object's space information, so when the object color was close to the background color, or the object's illumination changed, the traditional MS algorithm easily caused object tracking inaccurately or lost. Aimmed at this...
Article
Full-text available
In Peer-to-Peer(P2P) streaming system, the multicasting tree construction method influences considerably on network load. Under current available strategies, network resources are not used economically, or network resource friendship and the flexibility can't be approached thoroughly. With the increasing application of Internet, network infrastruct...

Network

Cited By

Projects

Projects (2)