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Browsing by Author "Peng, Zhiyuan"

Now showing 1 - 3 of 3
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    Acquisition of relative vehicle trajectories to facilitate freeway merging using DSRC based V2V communication
    (2017-11) Peng, Zhiyuan
    For the anticipated benefits of connected vehicle technology, Intelligent Transportation Systems Joint Program Office (ITSJPO) of the US Department of Transportation continues to emphasize the need for having Dedicated Short Range Communication (DSRC) based vehicle to vehicle (V2V) and/or vehicle to infrastructure (V2I) communication to enhance driver safety and traffic mobility. To take full advantage of connected vehicle technology in most safety applications, precise vehicle positioning information is neeeded in addition to V2V communication. Although, there are many techniques including vision or sensor based systems and differential GPS receivers, which can obtain precise absolute position of a vehicle at the expense of cost and complexity, some critical safety applications such as merge assist or lane change assist systems require only relative positions of surrounding vehicles with lane level resolution so a given vehicle can differentiate the vehicles on its own lane from the vehicles on adjacent lanes. We have adopted a simple approach to acquire accurate relative trajectories of surrounding vehicles using standard GPS receviers and DSRC based V2V communication. Using this approach, we have conducted field tests to successfully acquire relative trajectories of vehicles travelling on multiple lanes towards a merging junction with an accuracy of ±0.5m. The achieved accuracy level in relative trajectory was sufficient to differentiate vehicles travelling on adjacent lanes of a multiple-lane freeway.
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    Development and Demonstration of Merge Assist System using Connected Vehicle Technology
    (Center for Transportation Studies, University of Minnesota, 2019-04) Hussain, Shah; Peng, Zhiyuan; Hayee, M. Imran
    One potential area to improve driver safety and traffic mobility is around merge points of two roadways, e.g., at a typical freeway entrance ramp. Due to poor visibility because of weather or complex road infrastructure, on many such entrance ramps, it may become difficult for the driver on the merging/entrance ramp to clearly see the vehicles travelling on the main freeway, making it difficult to merge. A fundamental requirement to facilitate many advance driver assistance systems (ADAS) functions including a merge assist system is to accurately acquire vehicle positioning information. Accurate position information can be obtained using either sensor-based systems (camera-based, radar, lidar) or global navigation satellite systems (GPS, DGPS, RTK). For these systems to work well for practical road and weather conditions, advanced techniques and algorithms are needed, which make the system complex and expensive to implement. In this research project, we propose a merge assist system by acquiring the relative positioning of vehicles using standard GPS receivers and dedicated short-range communication (DSRC) based vehicle-to-vehicle (V2V) communication. The DSRC-equipped vehicles travelling on the main freeway and on the entrance-ramp will periodically communicate their positioning information with each other. Using that information, the relative trajectories, relative lane, and position of all DSRC-equipped vehicles travelling on the main freeway will be calculated and recorded in real time in the vehicle travelling on the entrance ramp. Finally, a merge-time cushion will also be calculated, which could potentially be used to assist the driver of the ramp vehicle to safely merge into the freeway.
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    Enhancing Bittorrent-Like Peer-To-Peer Content Distribution With Cloud Computing
    (2018-11) Peng, Zhiyuan
    BitTorrent is the most popular P2P file sharing and distribution application. However, the classic BitTorrent protocol favors peers with large upload bandwidth. Certain peers may experience poor download performance due to the disparity between users’ upload/download bandwidth. The major objective of this study is to improve the download performance of BitTorrent users who have limited upload bandwidth. To achieve this goal, a modified peer selection algorithm and a cloud assisted P2P network system is proposed in this study. In this system, we dynamically create additional peers on cloud that are dedicated to boost the download speed of the requested user.