Simulation of Autonomous Mobility of Connected Vehicles in the Context of Real Conditions – a Case Study

Hanzl, Jiří; Gross, Patrik; Bartuška, Ladislav; Pečman, Jan

doi:10.2478/logi-2021-0021

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…Assume X1, X2, X3,…Xm as independent random variables (in the present case, the value of risk) with a similar probability distribution, where Yn = max (X1, X2, X3,…., Xm). When n→∞, the Yn will converge to a GEV distribution [27], as shown in Equation (2).…”

Section: The Risk Analysismentioning

confidence: 99%

“…While designing the road infrastructure the real situation adaptation, based on current trends and development, needs to be considered to respond according to the traffic intensity. The development of the traffic situation is dynamic, difficult to predict, and influenced by several traffic, geometrical and other factors [2]. To improve the functioning of road safety, the context of commonly used traffic safety surrogate measures [16][17].…”

mentioning

confidence: 99%

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Reckoning Level of Risk and Severity (LORS) Based on the Gap Acceptance at a Three-Legged Uncontrolled Intersection of a Rural Highway

Bhatt¹,

Shah²

2023

Communications

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Traffic safety assessment is an essential part of traffic planning and engineering. At uncontrolled intersections, the severity of crashes has increased manifolds. This is due to the fact of not following the priority rule during the right-turning movements. In conventional methods, past accident records were used to analyze traffic safety. However, the drawbacks of the traditional method to estimate the severity require a lot of accident data for analysis to draw any conclusion and suggest safety measures. The accuracy of the record of accidents and details is highly uncertain. Therefore, surrogate safety measures are being used to analyze the safety. In the present paper, the gap acceptance time (GT) is used to examine the risk and the speed and gap values define the level of risk and severity (LORS). Moreover, using the value of the critical gap, the probability of risk is estimated. Further, the level of risk and severity is computed based on the gap and speed data of vehicles at an uncontrolled intersection. Hence, with the speed and gap data, the level of risk and severity is classified as low risk, high risk and low severe, and high severe. The methodology implemented is validated by using the actual accident data.

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Section: The Risk Analysismentioning

confidence: 99%

mentioning

confidence: 99%

Reckoning Level of Risk and Severity (LORS) Based on the Gap Acceptance at a Three-Legged Uncontrolled Intersection of a Rural Highway

Bhatt¹,

Shah²

2023

Communications

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Queuing‐based energy‐efficient processing algorithm for smart transportation through V2V communication

Mohammadi,

Khajehvand

2024

Concurrency and Computation

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SummaryApplications of intelligent systems installed in vehicles require substantial computational processing for various tasks. These intensive computations result in high energy consumption and power demands within vehicles. Computational offloading based on Vehicle‐to‐Vehicle (V2V) communication in vehicular fog computing (VFC) has been proposed as a promising solution to enhance energy efficiency in transportation applications. In this paper, the primary objective is addressing this concern by identifying the optimal nearby vehicle that minimizes energy consumption for the offloading and execution of computational tasks. Therefore, a decision‐making and intelligent task offloading mechanism based on queueing theory is proposed. By modeling the problem environment based on queueing theory and modeling the behavior of distributed tasks with discrete‐time Markov chain, the proposed solution can predict the future behavior of vehicles in selecting the most energy‐efficient processing node. Therefore, this paper investigates three energy decision parameters based on queueing theory extracted from the Markov model to enhance the performance of the proposed algorithm. Experimental results demonstrate that the computational energy parameter achieves the most significant improvement. The proposed algorithm outperforms previous methods, improving energy‐efficient system performance by 6.25% and 2.67%, and reducing delivery failure rate by 6.52% and 2.72%. It also decreases overall transportation system processing energy consumption by 0.05% for 100–500 vehicle arrival rates, resulting in an average total processing energy consumption of 0.48%.

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Market Electrification for BEV and PHEV in Relation to the Level of Vehicle Autonomy

et al. 2022

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The automotive market has been developing very dynamically recently. Contemporary trends focus on the development of the so-called intelligent vehicles, often combined with modern technology and supporting systems. Cars with a large scope of operation in terms of driving autonomy can increasingly be found. These types of solutions can lead to changes in production processes through the emergence and growing importance of new concepts and technologies. The article presents the concept of BEV (Battery Electric Vehicle) and PHEV (Plug-in Hybrid Electric Vehicle) vehicles in relation to modern solutions and their levels of autonomy. The research was conducted in various groups of respondents, while the analyses were carried out mainly with the use of two grouping variables: gender and place of residence. Based on our own research, it can be concluded that due to many different factors, most respondents believe that PHEV hybrid vehicles and electric vehicles (BEV) are currently, and will most likely be in the near future, the dominant type of vehicles appearing on roads in Poland, at the same time indicating the level of advancement of autonomy as average (mainly level 1, 2 and 3).

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Simulation of Autonomous Mobility of Connected Vehicles in the Context of Real Conditions – a Case Study

Cited by 3 publications

References 20 publications

Reckoning Level of Risk and Severity (LORS) Based on the Gap Acceptance at a Three-Legged Uncontrolled Intersection of a Rural Highway

Reckoning Level of Risk and Severity (LORS) Based on the Gap Acceptance at a Three-Legged Uncontrolled Intersection of a Rural Highway

Queuing‐based energy‐efficient processing algorithm for smart transportation through V2V communication

Market Electrification for BEV and PHEV in Relation to the Level of Vehicle Autonomy

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