Advancements in Intelligent Transportation Systems and Traffic Analysis

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 1553

Special Issue Editor


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Guest Editor
1. School of Transportation, Southeast University, Nanjing 211189, China
2. Engineering College, Tibet University, Tibet 850000, China
Interests: intelligent scheduling for public transit (analysis, modeling and simulation); traffic information system (data platform system design, highway traffic operation)
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Special Issue Information

Dear Colleagues,

The field of intelligent transportation systems and traffic analysis has made remarkable progress in recent years and these advances have attracted attention on a global scale. As one of the main bodies of the intelligent transportation system, the development of intelligent vehicles is also progressing. Pure visual perception and vehicle-road collaborative autonomous driving has gradually enhanced the function of current vehicles. From an industry perspective, these advances demonstrate the huge potential of intelligent transportation systems and traffic analysis, and how they can play a key role in improving traffic efficiency, safety and environmental friendliness.

This Special Issue seeks to propose innovative control and analysis methods based on the new generation of intelligent transportation systems, as well as articles focusing on the latest advances in urban transportation planning, data mining and vehicle engineering, that address the most relevant challenges facing current and future intelligent transportation systems.

Prof. Dr. Jian Zhang
Guest Editor

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Keywords

  • Internet of Vehicles
  • ITS
  • intelligent and connected vehicles
  • cooperative vehicle infrastructure system
  • traffic analysis

Published Papers (2 papers)

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18 pages, 8457 KiB  
Article
Hidden Markov Model-Based Dynamic Hard Shoulders Running Strategy in Hybrid Network Environments
by Jinqiang Yao, Yu Qian, Zhanyu Feng, Jian Zhang, Hongbin Zhang, Tianyi Chen and Shaoyin Meng
Appl. Sci. 2024, 14(8), 3145; https://doi.org/10.3390/app14083145 - 09 Apr 2024
Viewed by 250
Abstract
With the development of vehicle-road network technologies, the future traffic flow will appear in the form of hybrid network traffic flow for a long time. Due to the change in traffic characteristics, the current hard shoulder running strategy based on traditional traffic characteristics [...] Read more.
With the development of vehicle-road network technologies, the future traffic flow will appear in the form of hybrid network traffic flow for a long time. Due to the change in traffic characteristics, the current hard shoulder running strategy based on traditional traffic characteristics cannot effectively serve the hybrid network traffic flow scenario, and will even lead to the further deterioration of traffic congestion. In order to propose a hard shoulder running strategy suitable for a hybrid network environment, a traffic breakdown prediction method based on a hidden Markov model was established. Secondly, the characteristics of traffic breakdown in a hybrid network environment were analyzed. Finally, based on the traffic breakdown characteristics in a hybrid network environment, a dynamic hard shoulder running method based on the hidden Markov model was proposed. The effectiveness of HMMD-HSR was verified by simulation and comparison with HMM-HSR, LMD-HSR, and N-HSR. The simulation results show that the HMMD-HSR proposed in this paper can improve operation efficiency and reduce travel time in a congested expressway. Full article
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21 pages, 2533 KiB  
Article
A Comparative Study of IEEE 802.11bd and IEEE 802.11p on the Data Dissemination Properties in Dynamic Traffic Scenarios
by Shanzheng Xue, Siyuan Gong and Xinyi Li
Appl. Sci. 2024, 14(5), 2099; https://doi.org/10.3390/app14052099 - 02 Mar 2024
Viewed by 861
Abstract
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. [...] Read more.
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. Full article
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