Energy Planning for Autonomous Driving of an Over-Actuated Road Vehicle

Bensekrane, Ismail; Melingui, Achille; Coelen, Vincent; Amara, Yacine; Chettibi, Taha

doi:10.1109/tits.2019.2963544

Cited by 8 publications

(4 citation statements)

References 25 publications

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“…A crucial component of autonomous electric vehicles, communication methods module enables the vehicle to handle such tasks while being driven on roadways. A common term for this kind of interaction is "vehicle-to-everything" (V2X) communication, which includes "vehicle-to-vehicle," "vehicle-toinfrastructure," "vehicle-to-pedestrian," and "vehicle-tonetwork" (V2N) communication, among others [24,25]. So far, research has shown that two vehicles may talk with each other, a phenomenon called vehicle-to-vehicle communication [25,26].…”

Section: Introductionmentioning

confidence: 99%

Advancements in Battery Technology for Electric Vehicles: A Comprehensive Analysis of Recent Developments

2023

GMJ

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Numerous recent innovations have been attained with the objective of bettering electric vehicles and their components, especially in the domains of energy management, battery design and optimization, and autonomous driving. As a result, the eco-system becomes more efficient and long-lasting, and the technology for electric cars of the future is advanced. Insights into cutting-edge e-mobility research and developments, including electric cars (EVs) and other novel, inventive, and promising technologies, are provided by this study. These developments may be feasible by 2030. Digital twins that are linked to the Internet in Things (Iota) are one example of an appropriate modelling and design strategy covered in this research. Thanks to the concept of the Internet of Things, autonomous vehicles could improve road safety, fuel efficiency, and supply drivers more time for other tasks. Additionally discussed in this article is the technology that allows a vehicle to leave a parking spot, drive along a lengthy roadway, and finally park at its destination. The information gathered for use on real roads is crucial to the advancement of autonomous vehicles. Proposals for intelligent, autonomous vehicles and research needs are also present. The description includes numerous societal problems, one of which is the reason of an accident involving an autonomous car. We quickly go over a smart gadget that can detect unusual driving habits and stop accidents in their tracks. Additionally, every area of study pertaining to electric vehicles is addressed, along with the anticipated difficulties and gaps in understanding in each. This includes areas such as environmental evaluation, market research, power electronics, powertrain engineering, and power battery material sciences.

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Section: Introductionmentioning

confidence: 99%

Advancements in Battery Technology for Electric Vehicles: A Comprehensive Analysis of Recent Developments

2023

GMJ

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“…The driving process can be described as a series of acceleration changes, direction changes, lane changes, and light changes [9]. To drive without human intervention, an autonomous vehicle should consider the overall situation [10], which requires five primary functions: localization, perception, planning, vehicle control, and system management [11].…”

Section: Introductionmentioning

confidence: 99%

“…The vehicle control module follows the planning module's desired command by controlling the steering, acceleration, and braking. Finally, the system management module supervises the overall autonomous driving system [11]. However, the process becomes much more sophisticated when there are more elements to consider, such as other vehicles, pedestrians, or cyclists on the road.…”

Section: Introductionmentioning

confidence: 99%

Review of Autonomous Intelligent Vehicles for Urban Driving and Parking

Chan

Chin

2021

Electronics

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With the concept of Internet-of-Things, autonomous vehicles can provide higher driving efficiency, traffic safety, and freedom for the driver to perform other tasks. This paper first covers enabling technology involving a vehicle moving out of parking, traveling on the road, and parking at the destination. The development of autonomous vehicles relies on the data collected for deployment in actual road conditions. Research gaps and recommendations for autonomous intelligent vehicles are included. For example, a sudden obstacle while the autonomous vehicle executes the parking trajectory on the road is discussed. Several aspects of social problems, such as the liability of an accident affecting the autonomous vehicle, are described. A smart device to detect abnormal driving behaviors to prevent possible accidents is briefly discussed.

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“…The perception module builds an image of the driving environment using data from multiple sensors, while the positioning module estimates the exact location of the vehicle [1,3]. As of right now, the preparation module is involved; its primary responsibility is to decide how to navigate the EV by using safer localization as well as cartography.…”

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confidence: 99%

Comprehensive Evaluation of Regional Road Transport Safety Service Level

Dang,

Guoyu Wang,

Xiaodong Zhou

et al. 2024

SCPE

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Ensuring road transport safety is a critical imperative for regional development and public welfare. This abstract outline a comprehensive evaluation framework designed to assess the service level of regional road transport safety. The proposed methodology integrates diverse parameters, encompassing infrastructure, technology, policy, and human factors, to provide a holistic understanding of the safety landscape. Using real-time data integration and powerful analytics, the assessment system combines quantitative and qualitative indicators. Technology aspects of infrastructure evaluations centre on the effectiveness of automated transportation systems and their influence on accident reduction; architecture evaluations also cover the layout of roads, advertising, and maintenance requirements. Policy evaluation is examining current laws and the ways in which they are enforced while considering how they affect the behaviour of drivers and public safety. The proposed method uses DCNN method for intelligent road transport safety. Using DCNN algorithms to monitor and regulate traffic congestion in smart cities represents a significant leap in the use of deep learning in traffic management.

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Energy Planning for Autonomous Driving of an Over-Actuated Road Vehicle

Cited by 8 publications

References 25 publications

Advancements in Battery Technology for Electric Vehicles: A Comprehensive Analysis of Recent Developments

Advancements in Battery Technology for Electric Vehicles: A Comprehensive Analysis of Recent Developments

Review of Autonomous Intelligent Vehicles for Urban Driving and Parking

Comprehensive Evaluation of Regional Road Transport Safety Service Level

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