Queue Spillover Management in a Connected Vehicle Environment

Ren, Chuanxiang; Zhang, Wenbo; Qin, Lingqiao; Sun, Bo

doi:10.3390/fi10080079

Cited by 9 publications

(5 citation statements)

References 29 publications

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“…It is observed that the proposed protocol gives optimum performance under the defined scenario and assumptions being made. In Table 4, we expand the security performance analysis for some more available schemes [43][44][45] and tabulate the findings. Such an analysis is believed to help future researchers to identify the protocols specific to their area of study.…”

Section: Discussion and Comparative Summarymentioning

confidence: 99%

Authentication-Based Secure Data Dissemination Protocol and Framework for 5G-Enabled VANET

Gupta¹,

Manaswini²,

Saikrishna³

et al. 2020

Future Internet

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The amalgamation of Vehicular Ad hoc Network (VANET) with the Internet of Things (IoT) leads to the concept of the Internet of Vehicles (IoV). IoV forms a solid backbone for Intelligent Transportation Systems (ITS), which paves the way for technologies that better explain about traffic efficiency and their management applications. IoV architecture is seen as a big player in different areas such as the automobile industry, research organizations, smart cities and intelligent transportation for various commercial and scientific applications. However, as VANET is vulnerable to various types of security attacks, the IoV structure should ensure security and efficient performance for vehicular communications. To address these issues, in this article, an authentication-based protocol (A-MAC) for smart vehicular communication is proposed along with a novel framework towards an IoV architecture model. The scheme requires hash operations and uses cryptographic concepts to transfer messages between vehicles to maintain the required security. Performance evaluation helps analyzing its strength in withstanding various types of security attacks. Simulation results demonstrate that A-MAC outshines other protocols in terms of communication cost, execution time, storage cost, and overhead.

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Section: Discussion and Comparative Summarymentioning

confidence: 99%

Authentication-Based Secure Data Dissemination Protocol and Framework for 5G-Enabled VANET

Gupta¹,

Manaswini²,

Saikrishna³

et al. 2020

Future Internet

View full text Add to dashboard Cite

show abstract

“…By using the information interaction between vehicle and intersection signal control [30], the overflow trend can be identified by the all vehicles' position data, and the overflow prevention can be realized by combining vehicle speed control and signal control. is kind of advanced detection method requires the utilization of V2I and Internet of Vehicles.…”

Section: Overflow Control Based On Internet Of Vehicles Technologymentioning

confidence: 99%

Research on Intersection Frequent Overflow Control Strategy Based on Wide-Area Radar Data

Zhang

Zhao

Wang

2020

Journal of Advanced Transportation

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Overflow identification and control at urban road intersection is a derivative problem of oversaturation control. The existing cross-section detector uses the road cross-section occupation of vehicles to identify the overflow state; then, the downstream road condition is often ignored. At present, more and more advanced traffic detection technologies, such as vehicle-to-infrastructure and wide-area radar, can provide reliable data for accurate overflow identification. In this paper, a new method of overflow identification and control at intersections is proposed by using advanced wide-area radar detection data. As a detector for specific segment of road, the wide-area radar can detect the traffic flow data in a certain range of road and provide more data types. Therefore, the average speed and space occupancy of the effective detection road segment are selected as subindicators to establish the comprehensive identification index of overflow identification. Then, the overflow control strategy is developed considering the traffic demand of the overflow phase and the nonoverflow phase. It is proved that the method is more accurate and effective in overflow identification and control by using simulation experiment of field data.

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“…Estimation. To estimate the queue length in each direction of the intersection with single detector data [24][25][26][27][28][29][30] or multiple source-detector data [31,32] or vehicle road collaboration data [33], the queue length is used as the basis for traffic state recognition. It can be judged through checking whether the queue length reaches the threshold.…”

Section: Traffic State Recognition Based On Queue Lengthmentioning

confidence: 99%

Traffic State Recognition of Intersection Based on Image Model and PCA Hashing

Zhang

Wang

Zhao

2020

Journal of Advanced Transportation

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The premise of implementing an effective traffic control strategy is the accurate traffic state recognition. In the existing study, traffic state recognition methods were processed by using statistical characteristics and long-term scale detection of field traffic data. Hence, the dynamic characteristics and subtle changes in traffic flow were easy to overlook. At present, more and more advanced traffic detection technology provides reliable and accurate data for measuring and distinguishing the state of urban road traffic, such as the cooperative vehicle-infrastructure system, wide-area radar technology, and 5G technology. This study proposes a novel method called HTSI (High Precision Traffic State Identification Method), which is based on the advanced detection technology in traffic state recognition at the intersection: The raw data used for intersection traffic state recognition is high-precision detection data of tracking characteristics, which make the data look like a picture of the intersection at God’s perspective. To this end, we construct an image model for intersections and implement image feature extraction in a way that is different from traditional image processing. Then, the traffic state recognition problem at the intersection is translated into an image searching problem with tags. The image searching is realized by the hashing algorithm. Finally, the comprehensive experiments prove that the proposed method is more accurate and finer than other methods.

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Queue Spillover Management in a Connected Vehicle Environment

Cited by 9 publications

References 29 publications

Authentication-Based Secure Data Dissemination Protocol and Framework for 5G-Enabled VANET

Authentication-Based Secure Data Dissemination Protocol and Framework for 5G-Enabled VANET

Research on Intersection Frequent Overflow Control Strategy Based on Wide-Area Radar Data

Traffic State Recognition of Intersection Based on Image Model and PCA Hashing

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