Research on Road Environmental Sense Method of Intelligent Vehicle Based on Tracking Check

Yong, Han; Wang, Biyao; Guan, Tian; Tian, Di; Yang, Guangfeng; Wei, Wei; Tang, Hongbo; Chuah, Joon Huang

doi:10.1109/tits.2022.3183893

Cited by 66 publications

(20 citation statements)

References 39 publications

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“…Pavement failures can endanger trafc safety, and various additives and nanomaterials can be taken into account in this regard, which can be examined in a feld investigation that is in line with this study [35][36][37][38][39][40]. Simulation devices and vehicles can also be adopted in incorporation with the Internet of Tings (IoT), vehicle-mounted equipment, and sensors to develop the potential of driver motion and physiological signal monitoring [41][42][43][44][45]. Various human factors may cause a driver to leave the travel lane and afect the occurrence of accidents, such as driver's fatigue and inattention, which can be investigated in future research studies [46,47].…”

Section: Discussionmentioning

confidence: 98%

Safety Comparison of Simple and Spiral Horizontal Curves Based on Side Friction Factor Dynamic Modeling

Aldeen

Kordani

Fallah

et al. 2023

Journal of Advanced Transportation

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A horizontal curve’s geometric design is considered an important factor in highway accidents, and simple and spiral curves are regarded as the most common types of horizontal curves. Various factors affect the safety of horizontal curves, one of the most important of which is the side friction factor in the horizontal curves. Therefore, in this study, the safety of simple and spiral horizontal curves was investigated for the E-class sedan, E-class SUV, and two-axle conventional truck based on the side friction factor. In this regard, CarSim and TruckSim vehicle dynamic simulation software were utilized using 360 scenarios, including vehicle speed, vehicle type, curve radius, and road geometry. It was revealed that the maximum side friction factor for all vehicles in the simple horizontal curve was higher than the spiral horizontal curve. Also, the process of increasing the side friction factor was carried out with a gentler slope in the spiral horizontal curve. Except for the radius of 0.7 times the maximum radius of the spiral horizontal curve (R) for the truck and the radii of 0.7 R and 0.9 R for the sedan and SUV, the maximum side friction factor in simple and spiral horizontal curves was lower than the AASHTO recommended values, which shows that the spiral horizontal curve was better and safer compared to the simple horizontal curve based on the side friction factor.

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Section: Discussionmentioning

confidence: 98%

Safety Comparison of Simple and Spiral Horizontal Curves Based on Side Friction Factor Dynamic Modeling

Aldeen

Kordani

Fallah

et al. 2023

Journal of Advanced Transportation

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“…119 Also, under knowledge asymmetry and ambiguity, there is no systematic strategy to solve the task offloading issue in vehicular fog computing. 120,121 An essential yet difficult scientific question is accomplishing efficient and dependable work offloading. 110 Cloud computing is still in its infancy and faces several severe concerns, including privacy and security.…”

Section: Research Challengesmentioning

confidence: 99%

“…Additionally, in order for existing PaaS features (such as publication/discovery) to work in a hybrid cloud/fog context, they must be greatly expanded 119 . Also, under knowledge asymmetry and ambiguity, there is no systematic strategy to solve the task offloading issue in vehicular fog computing 120,121 . An essential yet difficult scientific question is accomplishing efficient and dependable work offloading 110 …”

Section: Research Challengesmentioning

confidence: 99%

Dependable and reliable cloud‐based architectures for vehicular communications: A systematic literature review

Yang

et al. 2023

Int J Communication

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Traffic congestion, air pollution, fuel wastage, and car accidents are all exacerbated by increased traffic. Thus, vehicular communications, which refer to information transmission between cars, pedestrians, and infrastructures, have lately gained popularity and been extensively explored due to their enormous potential to enable intelligent transportation and various safety applications. Manually piloted cars and automated vehicles can acquire relevant information via vehicular communications to enhance traffic security and boost entertainment services. The basic concept of automobile clouds was originally published in the literature not long ago, and several suggested structural approaches have been presented in this study thus far. Several academics have concentrated on the structural layout to address various problems and, as a result, satisfy user expectations in order to give dependable services. We examined various vehicular cloud topologies in this study. We also offered a complete summary of current network layer research on allowing efficient vehicle communications and examined specific security, architectural, and reliability concerns in vehicular clouds. Also, the taxonomy of vehicular networks was discussed in terms of the service link between vehicular networks and cloud computing. Ultimately, we discussed the research prospects available. The results showed that security and privacy challenges are among the most important challenges.cloud computing, vehicular ad hoc network, vehicular cloud architecture, vehicular communication | INTRODUCTIONBecause of its vast application domains, like commercial-oriented, safety-relevant, and convenience-centered applications, 1-3 vehicular networks have recently gained much study interest. 4 Real-time traffic, notice after a crash, cooperative message transmission, warning of a coordinated collision, and traffic vigilance are some safety-relevant applications that may be categorized. 5 Distant vehicle personalization/diagnostics, digital map downloading, Internet access, value-added commercials and advertisements, and real-time entertainment video relay are included in the commercial-centered application. 6 Route diversions, parking availability, electronic toll collection, and active prediction help are examples of convenience-centered applications. 1,7,8 So, vehicle networks must meet some most stringent standards in all these essential application fields. 2,9 Time-critical Vehicle-to-Vehicle (V2V) safety applications necessitate

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“…The advent of 5G technology has brought about a transformative era, revolutionizing communication and connectivity with its limitless possibilities 1 . With its lightning‐fast data transfer speeds and near‐instantaneous connections, 5G promises to enable innovative emerging technologies such as self‐driving vehicles, remote medical procedures, and immersive virtual reality experiences 2–4 . However, the deployment of 5G networks requires a new approach to network architecture and resource allocation due to the significant increase in traffic volume and complexity 5…”

Section: Introductionmentioning

confidence: 99%

“…1 With its lightning-fast data transfer speeds and near-instantaneous connections, 5G promises to enable innovative emerging technologies such as self-driving vehicles, remote medical procedures, and immersive virtual reality experiences. [2][3][4] However, the deployment of 5G networks requires a new approach to network architecture and resource allocation due to the significant increase in traffic volume and complexity. 5 One promising solution to this demand is the cloud radio access network (C-RAN), which decouples the RAN functions from traditional base stations and centralizes them in a cloud-based processing unit.…”

Section: Introductionmentioning

confidence: 99%

Resource allocation in 5G cloud‐RAN using deep reinforcement learning algorithms: A review

Khani,

Jamali,

Sohrabi

et al. 2023

Trans Emerging Tel Tech

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This paper reviews recent research on resource allocation in 5G cloud‐based radio access networks (C‐RAN) using deep reinforcement learning (DRL) algorithms. It explores the potential of DRL for learning complex decision‐making policies without human intervention. The paper first introduces the C‐RAN architecture and resource allocation concepts, followed by an overview of DRL algorithms applied to C‐RAN. It discusses the challenges and potential solutions in applying DRL to C‐RAN resource allocation, including scalability, convergence, and fairness. The review concludes by highlighting open research directions for future investigation. By providing insights into the state‐of‐the‐art techniques for resource allocation in 5G C‐RAN using DRL, this paper emphasizes their potential impact on advancing 5G network technology.

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Research on Road Environmental Sense Method of Intelligent Vehicle Based on Tracking Check

Cited by 66 publications

References 39 publications

Safety Comparison of Simple and Spiral Horizontal Curves Based on Side Friction Factor Dynamic Modeling

Safety Comparison of Simple and Spiral Horizontal Curves Based on Side Friction Factor Dynamic Modeling

Dependable and reliable cloud‐based architectures for vehicular communications: A systematic literature review

Resource allocation in 5G cloud‐RAN using deep reinforcement learning algorithms: A review

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