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Yongjie Lin - IEEE Xplore Author Profile

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Pedestrian detection in crowded situation is a challenging task. This study presents a straightforward and effective method called Det RCNN to detect pedestrians in crowded situation, while also pairing the body and head of individual pedestrian. On the one hand, pedestrians' heads have their characteristics of stable shape and distinct feature. On the other hand, their heads are usually positione...Show More
In order to balance the accuracy and stability of trajectory tracking for intelligent driving vehicles under the com-plex working conditions, this study proposes trajectory tracking control strategy based on path curvature variable weight model predictive control. model predictive control is established with front wheel steering angle and front wheel speed as control variables, using real-time lat...Show More
Bandwidth-based traffic signal coordination has long been an effective technique to make traffic flows within a network more efficient, smoother, and safer. Existing network bandwidth optimization models mainly focus on maximizing the bandwidth under NEMA phasing. The network bandwidth maximization under other typical phasing schemes, namely the split or mixed phasing, has not been intensively stu...Show More
An optimization model of regional green wave coordination control for the coordinated path set is proposed based on the network’s directional and asymmetric actual coordination control demands. The model in this paper selects the coordinated path set as the optimization object and takes the best regional coordination control effect as the optimization objective. By selecting signal timing paramete...Show More
Overlapping phase and split phase are two typical phase patterns at signalized intersections in practice. The existing bandwidth-oriented progression control schemes mainly focus on overlapping phase to adopt the various layout of intersections and volumes rather than split phase. To address this issue, a two-way signal progression model, namely Pband, is developed to simultaneously optimize phase...Show More
With the increasing number of urban vehicles, traffic congestion has become increasingly serious. Predicting traffic flow and take corresponding measures, which plays a pivotal role in easing traffic congestion. At present, many researchers have done a lot of research on the temporal and spatial correlation of traffic flow in the traffic network. Meanwhile, the traffic flow has a strong periodicit...Show More
Short-term traffic flow forecasting has always been an interesting research at the fields of Intelligent Transportation Systems. This paper presents a time-based combined traffic flow prediction model based on field data collected by loop detectors at signalized intersections, which are used to signal optimization, route choice, traffic monitoring, etc. Firstly, the traffic flow and corresponding ...Show More
The accurate estimation of pedestrian movement location is one of hot research topics among Intelligent Transportation Systems. In the real-time pedestrian tracking application, the WiFi-based localization method is seriously affected by environmental noise, which results in the large positioning error. Aiming at this issue, this paper first analyzed the localization technologies based on the Rece...Show More
Signal progression has been proven as an effective way to improve the operational efficiency of traffic signals at local arterial corridors. Conventional two-way progression models have shown their promising in providing desirable green bandwidth to two-way through traffic along the arterial. However, they may not offer an effective progression plan when a long arterial contains many intersections...Show More