A Simulation Approach to Detect Arterial Traffic Congestion Using Cellular Data

Shen, Li; Zhang, Jian; Zhong, Gang

doi:10.1155/2022/8811139

Cited by 2 publications

(2 citation statements)

References 24 publications

(21 reference statements)

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“…Through proposing the prediction method in terms of bus travel time, Huang et al collected over 60,000 predictions of bus trajectory [15]. In recent years, cellular movements were also considered in the research of traffic simulation and identification of traffic patterns [16,17]. Nevertheless, this research was limited to part of the samples, as GPS devices cannot be mounted on all types of vehicles.…”

Section: Literature Reviewmentioning

confidence: 99%

Exploring the Individual Travel Patterns Utilizing Large-Scale Highway Transaction Dataset

et al. 2022

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With the spread of electronic toll collection (ETC) and electronic payment, it is still a challenging issue to develop a systematic approach to investigate highway travel patterns. This paper proposed to explore spatial–temporal travel patterns to support traffic management. Travel patterns were extracted from the highway transaction dataset, which provides a wealth of individual information. Additionally, this paper constructed the analysis framework, involving individual, and temporal and spatial attributes, on the basis of the RFM (Recency, Frequency, Monetary) model. In addition to the traditional factors, the weekday trip and repeated rate were introduced in the study. Subsequently, various models, involving K-means, Fuzzy C-means and SOM (Self-organizing Map) models, were employed to investigate travel patterns. According to the performance evaluation, the SOM model presented better performance and was utilized in the final analysis. The results indicated that six groups were categorized with a significant difference. Through further investigation, we found that the random traveler occupied over 40% of the samples, while the commuting traveler and long-range freight traveler presented relatively fixed spatial and temporal patterns. The results were also meaningful for highway authority management. The discussion and implication of travel patterns to be integrated with the dynamic pricing strategy were also discussed.

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Section: Literature Reviewmentioning

confidence: 99%

Exploring the Individual Travel Patterns Utilizing Large-Scale Highway Transaction Dataset

et al. 2022

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“…The IEEE 802.11bd standard, as a strong competitor to NR-V2X for the NGV universal communication standard, has garnered widespread attention from both academia and industry. As the standard for C-V2X, NR-V2X has the potential to interact with 5G-and-beyond cellular technologies, extending vehicular communication beyond V2V and V2I communications [13][14][15]. However, due to the extensive safety-related field trials performed worldwide, DSRC still holds an advantage compared with C-V2X, whose effective reliability and scalability are still to be completely verified [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of IEEE 802.11bd and IEEE 802.11p on the Data Dissemination Properties in Dynamic Traffic Scenarios

Xue,

Gong,

2024

Applied Sciences

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With the rapid deployment of intelligent transportation systems in real-life applications, both dedicated short-range communications (DSRC) and cellular Vehicle-to-Everything (C-V2X), utilized to enable V2X communication, are undergoing extensive development to meet the quality of service (QoS) demands of advanced vehicular applications and scenarios. Compared to C-V2X, which lacks fully validated effective reliability, DSRC has undergone extensive field testing worldwide, ensuring its practicality. IEEE 802.11bd, as the next-generation V2X (NGV) standard within DSRC, is expected to greatly exceed the performance of its predecessor, 802.11p. However, existing studies mention that the ambient traffic environment will influence the performance of V2X due to the cyber-physical properties of V2X. To fully assess the advancements of NGV, this study presents a comparative analysis of IEEE 802.11bd and IEEE 802.11p, focusing on dynamic traffic conditions. Specifically, the technical advancements of the IEEE 802.11bd standard are first theoretically examined, emphasizing significant enhancements in aspects like modulation and coding schemes, coding rates, and channel coding. Subsequently, these critical technical enhancements are implemented in Veins, a simulation framework for the Internet of Vehicles (IoV), encompassing large-scale dynamic traffic scenarios. The simulation results indicate that the IEEE 802.11bd standard significantly enhances the data transfer rate compared to IEEE 802.11p, achieving a stable twofold increase. Furthermore, the data transmission latency is reduced by over half compared to IEEE 802.11p, while the data transmission reliability experiences a noteworthy 20% enhancement. Notably, the enhanced data transmission mode of the IEEE 802.11bd standard requires an increased signal-to-noise ratio (SNR). Additionally, this research evaluates the data dissemination properties in the IoV and finds that the traffic volume has a limited impact on the data propagation speed.

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A Simulation Approach to Detect Arterial Traffic Congestion Using Cellular Data

Cited by 2 publications

References 24 publications

Exploring the Individual Travel Patterns Utilizing Large-Scale Highway Transaction Dataset

Exploring the Individual Travel Patterns Utilizing Large-Scale Highway Transaction Dataset

A Comparative Study of IEEE 802.11bd and IEEE 802.11p on the Data Dissemination Properties in Dynamic Traffic Scenarios

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