Ping Wang

Ping Wang
Chang'an University · School of Control and Electronics Engineering

PhD

About

67
Publications
14,214
Reads
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487
Citations
Introduction
Ping Wang received the B.Sc. and M.Sc. degrees in Automation from Shandong University and Shanghai Jiaotong University, China, in 2004 and 2007, respectively, and the Ph.D. degree in robotics from Nanyang Technological University, Singapore, in 2012. She has over 40 publications and 6 patents (pending). Her current research interests include intelligent transportation system, deep learning and control engineering.
Additional affiliations
October 2019 - April 2021
Chang'an University
Position
  • Professor
October 2011 - December 2013
Nanyang Technological University
Position
  • Research Associate
August 2007 - August 2012
Nanyang Technological University
Position
  • PhD

Publications

Publications (67)
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
Abstract Fast and reliable evaluation of regional traffic congestion is beneficial to more effective traffic control. Based on data accumulation in modern society, more and more data‐driven methods are proposed. However, it is still not easy to process the raw data to an interpretable level in practical applications. In this article, the GPS data a...
Conference Paper
g Abstract-A gait trainer, NaTUre-gaits (natural and tunable rehabilitation gait system), has been developed to provide assistance for the gait rehabilitation. The gait rehabilitation system can provide mobility for an overground locomotion in forward walking and turning by a mobile platform. The exoskeleton modules are mounted on the mobile platfo...
Article
Describing function analysis has been widely adopted in many existing identification methods that are based on relay feedback tests. In these methods, the critical point of the Nyquist curve is usually approximated to the oscillation point. Nevertheless, such an approximation may result in poor accuracy for identification, in particular, for those...
Chapter
Prompt and accurate prediction of traffic flow is quite useful. It will help traffic administrator to analyze the road occupancy status and formulate dynamic and flexible traffic control in advance to improve the road capacity. It can also provide more precise navigation guidance for the road users in future. However, it is hard to predict spatiote...
Article
Full-text available
With the development of autonomous car, a vehicle is capable to sense its environment more precisely. That allows improved drving behavior decision strategy to be used for more safety and effectiveness in complex scenarios. In this paper, a decision making framework based on hierarchical state machine is proposed with a top-down structure of three-...
Article
Full-text available
Fast road emergency response can minimize the losses caused by traffic accidents. However, emergency rescue on urban arterial roads is faced with the high probability of congestion caused by accidents, which makes the planning of rescue path complicated. This paper proposes a refined path planning method for emergency rescue vehicles on congested u...
Article
Obtaining accurate traffic loads is crucial for the assessment of bridges. The traffic load obtained by the current method is insufficient for the refined analysis of bridge structures. Herein, a fusion method is proposed to generate fine-grained traffic load spectra using weigh-in-motion data, video-based vehicle spatial–temporal information, and...
Article
Full-text available
Abstract Rapid rescue response has the highest priority in case of emergency randomly happening on the freeway network, which allows rescue vehicles to have many trajectory options. Searching for the fastest way is not easy within a short time after traffic accident happens especially for the mountainous area with special characteristics such as li...
Article
Full-text available
In order to reduce driving risk in the rainfall days, developing the variable speed limits (VSL) is effective. However, it is hard to develop suitable VSL aligning with travel speed of mainstream that it affected by the traffic flow, rainfall intensity, individual travel speed, peak hours, working days, random events, and so on. In this paper, the...
Article
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This study analysed unbalanced traffic distribution on Triple Left-Turn Lanes (TLTLs) at signalized intersections that is caused by left-turn drivers’ unequal lane preferences. To develop statistical bonding between the multilane traffic flow and individual lane choices, the lane volumes are formatted as compositional data to subject the sum-consta...
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
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
In order to develop a low-cost wearable electromyography (EMG) sensor system that can be used at home, compacting the data size is studied first to extract potential features via frequency analysis. A low-cost wearable home-use EMG sensor is then developed. Results show the frequency band at 40-60 Hz of tibialis anterior offers significant differen...
Article
Full-text available
Diverse lane preferences of left-turn drivers lead to unbalanced traffic distribution on multiple left-turn lanes. The preferences can be measured in terms of lane usage at macroscopic level and individual lane choice at microscopic level. The data of lane volume and individual lane choices are collected at eight dual or triple left-turn lanes equi...
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
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
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...
Article
Full-text available
Anticipating ability is a skill that drivers count on to handle risky tasks in the traffic. This paper explores how the drivers of lane changing vehicle and its immediately car follower anticipate surrounding vehicles’ movements and adjust their manoeuvers during vehicle inserting process. The drivers’ anticipating mechanisms are modelled in the fr...
Article
Full-text available
With the fast development of deep learning, its performance in image classification and object recognition has presented dramatic improvements. These promising results could also be applied to better understand speckle patterns in scattering media imaging. In this paper, a multimode fiber is used as the scattering media, and 4000 face and nonface o...
Article
Full-text available
In order to improve the neurological recovery of hand neurorehabilitation, target-oriented, intensive, repetitive activities of daily living are used, such as training with recognition of hand gestures during robot-aided exercise. In this article, a cascade control algorithm integrating electromyography bio-feedback into hand gesture recognition is...
Article
An improved angular multiplexing method are proposed with polarization interference to enhance the resolution of digital holographic image. Samples are illuminated by using two orthogonally polarized laser beams with different incidence angles as these object beams correspondingly carrying low and high frequency of spatial information. A linearly p...
Conference Paper
In order to investigate evaluation methodology for hemiparetic gaits on rehabilitation purpose, volunteering subjects are recruited on the standardized walking trials. EMG signals are collected from six muscle groups on each lower limb. Improved autocorrelation analysis combined with gait analysis is then proposed. As the completion of gait cycle i...
Article
Full-text available
Motif discovery problem is crucial for understanding the structure and function of gene expression. Over the past decades, many attempts using consensus and probability training model for motif finding are successful. However, the most existing motif discovery algorithms are still time-consuming or easily trapped in a local optimum. To overcome the...
Article
Full-text available
New high-throughput technique ChIP-seq, coupling chromatin immunoprecipitation experiment with high-throughput sequencing technologies, has extended the identification of binding locations of a transcription factor to the genome-wide regions. However, the most existing motif discovery algorithms are time-consuming and limited to identify binding mo...
Article
The number of people with difficulty in walking has increased with aging issues worldwide. It is possible to regain walking ability after persistent locomotion training. With the development of robotics, cyclic walking motion is implemented to stimulate the correct walking pattern. In order to better track the planned walking motion, this paper foc...
Article
Sports compression garments are common-selected sportswear to improve athletic performance and reduce sports injury. Since they consist of elastic textile that exerts compression and pressure onto the muscle, muscle activation is of interest to sports compression garment manufactures who seek to enhance sports performance through gradient compressi...
Article
Full-text available
Sports compression apparel consists of elastic textile that exerts pressure onto muscles. It is common for sportswear which consists of elastic textile that exerts pressure onto muscles to improve athletic performance and reduce sports injury. Since muscle activation is very sensitive to external conditions, the differences associated with muscle a...
Conference Paper
NaTUre-gaits (Natural and TUnable rehabilitation gait system), has been developed for a robotic-assisted overground walking training. Effects on muscle activation of participants during walking with the system were evaluated and analyzed. Clinical trials were conducted and electromyographic (EMG) signals were collected from major lower limb muscle...
Article
In order to identify optimal rehabilitation strategies for spinal cord injury (SCI) participants, assessment of impaired walking is required to detect, monitor and quantify movement disorders. In the proposed assessment, ten healthy and seven SCI participants were recruited to perform an over-ground walking test at slow walking speeds. SCI particip...
Article
In order to evaluate the effectiveness of a robotic trainer, NaTUre-gaits (Natural and TUneable rehabilitation gait system), four healthy and one spinal cord injury (SCI) subjects have participated in the walking experiment. The comparison between robotic-assisted overground walking with ground contact and totally robotic-assisted walking without g...
Article
Due to the labor-intensiveness and the shortage of therapists in the application of most forms of manually assisted gait training in neuro-rehabilitation, robotics rehabilitation gait systems have been developed to contribute in such fields of neuro-rehabilitation. This paper presents an overground gait rehabilitation robot, which consists of a pai...
Article
With the evolution of robotic systems to facilitate overground walking rehabilitation, it is important to understand the effect of robotic-aided body-weight supported loading on lower limb muscle activity, if we are to optimize neuromotor recovery. To achieve this objective, we have collected and studied electromyography (EMG) data from key muscles...
Article
For decades, robotic devices have been suggested to enhance motor recovery by replicating clinical manual-assisted training. This paper presents an overground gait rehabilitation robot, which consists of a pair of robotic orthoses, the connected pelvic arm in parallel and a mounted mobile platform. The overground walking incorporates pelvic control...
Article
Patients with neurological disorders, such as stroke survivors, can be treated with physical rehabilitation to regain motor control and function. Conventional therapy techniques are labor intensive and non-standardized. This is especially true in gait rehabilitation. A natual and tunable rehabilitation gait system (NaTUre_gaits) has been developed...
Article
With the evolution of robotic systems to facilitate overground walking rehabilitation, it is important to understand the effect of robotic-aided body-weight supported loading on lower limb muscle activity, if we are to optimize neuromotor recovery. To achieve this objective, we have collected and studied electromyography (EMG) data from key muscles...
Article
A body-weight support locomotion training (BWSLT) device has been developed for the lower limb rehabilitation. In order to evaluate the effectiveness of the device, seven healthy subjects have participated the walking experiments. The experiments include the walking along a floor mat and the walking with the assistance of the device. On the other h...
Article
Falls can have a fatal effect on elderly, and fall-related injuries are increasing dramatically with age. Studies on risk of fall show that falls are often caused by changes in gait characteristics. Early detections by visiting clinic or hospital contribute to the prevention of falls. However, most of the elderly are not willing to visit clinics or...
Conference Paper
Falls are among the most frequent occasions happening on elderly. Moreover, falls can cause fatal effect on them. One of the issues related to elderly health, which can incur falls, is the gait characteristics. Thus, it will be useful to set up a monitoring system for home-use to detect the gait characteristics of the elderly. With this daily monit...
Conference Paper
Evaluations for gait rehabilitation is difficult because gait parameters change with individuals and situations, such as walking speeds and step length. Doctors suggest proper rehabilitation programs for patients after performing initial clinical evaluations. For the use of design and control of the NaTUre-gaits (natural and tuneable rehabilitation...
Conference Paper
Therapists often emphasize selection and design of proper training programs for individual patients in different situations and rehabilitation stages. Thus, in order to cater different patient groups, this paper proposes four assistant control strategies for robotic rehabilitation of gait locomotion: (1) orthosis-free, (2) totally-passive, (3) opti...
Article
An auto-tuning controller, based on the modified relay feedback identification, was designed with respect to the phase margin. A phase derivation was proposed to compensate the span between the oscillation point and critical point on the Nyquist curve. Therefore the second order plus dead time (SOPDT) can be identified in high accuracy which repres...
Article
It is difficult to identify the unstable processes with time delay, especially with large time delay. In this paper, a new relay feedback identification method for open-loop unstable processes with time delay is proposed. The exact expressions for the periods and amplitudes of limit cycles under the biased relay feedback are derived for unstable pr...
Article
Integrating processes with inverse response and time delay are frequently encountered in the level control of a boiler steam drum and are difficult to identify and control. In this paper, a systematic approach for autotuning of a proportional−integral (PI) or proportional−integral−derivative (PID) controller is proposed for this type of process. A...

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