Importance of the reputation of data manager in the acceptance of connected vehicles

Acharya, Sailesh; Mekker, Michelle

doi:10.1016/j.commtr.2022.100053

Cited by 16 publications

(6 citation statements)

References 18 publications

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“…First of all, HTTP, i.e., Hypertext Transfer, is a classic distribution transfer method that mainly uses the bandwidth and storage of the server to transfer and distribute files, but the HTTP link between the client and the server is a onetime connection, i.e., the connection will be closed automatically each time the server returns an answer to a request [11].…”

Section: Data File Transmissionmentioning

confidence: 99%

“…Among them, the affiliation is to achieve fuzzification, i.e., to establish a relationship between the exact quantities discretized in Section 3.2 and the fuzzy quantities representing the fuzzy language, describing the degree to which a variable belongs to the language of a fuzzy variable, which is called the affiliation function in the case of a continuous domain of the argument. e affiliation function, which is mainly designed to reflect the fuzzy character of the fuzzy set, plays a key role in the overall fuzzy [11] controller. When fuzzy control is performed on variables, the first step is to fuzzify them, mainly by applying the affiliation function to the input variables to make the input variables themselves more accurate, but the processed input variables are converted to fuzzy vectors.…”

Section: Affiliation Function and Fuzzificationmentioning

confidence: 99%

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Data File Security Strategy and Implementation Based on Fuzzy Control Algorithm

Ren

2022

Security and Communication Networks

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Today there are few studies on data file security strategies, but with the increase in information technology, the more the security of data files cannot be ignored. In this paper, based on the research of data file security policy, a model of data file security interaction based on a fuzzy control algorithm is proposed, and the correct rate of the model proposed in this paper is improved by about 1.5% under the traditional FTP server-based model.

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Section: Data File Transmissionmentioning

confidence: 99%

Section: Affiliation Function and Fuzzificationmentioning

confidence: 99%

Data File Security Strategy and Implementation Based on Fuzzy Control Algorithm

Ren

2022

Security and Communication Networks

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“…A gradual increase in MPR is expected because the MPR of SAS vehicles will be affected by exogenous variables, such as public acceptance, policy, legislation, and/or V2I communication technology capability ( 33 ). The simulation uses five MPRs (i.e., from 0% to 100% in 25% increments) to consider different levels of SAS penetration.…”

Section: Methodsmentioning

confidence: 99%

Safety Benefits of Automated Speed Advisory Systems at Signalized Intersections

Saunier

Miranda-Moreno

2022

Transportation Research Record: Journal of the Transportation R

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Human-driving behavior at signalized intersections may lack efficiency because drivers try to reach their desired speed without the upcoming traffic-signal information. This causes idling time, sharp accelerations, hard braking, traffic congestion, emissions, and energy consumption. Connected vehicles, for example those equipped with a speed advisory system (SAS), can provide prior information to drivers for optimizing their driving behavior while approaching signalized intersections. However, the current literature focuses only on the fuel consumption, emissions, and travel-delay reduction impacts of SASs. This paper evaluates the safety impact of SAS vehicles using the proposed approach that simulates mixed-traffic situations between SAS and human-driven vehicles (HDVs). HDVs in the model follow real vehicle trajectories based on car-following conditions. The study investigates various scenarios including the impact of the different ranks of SAS vehicles in the vehicle group, the lane-changing possibility, and market penetration rates (MPRs). The results suggest that SAS vehicles can reduce rear-end collision risks from 25% MPR. The minimum time to collision increases by 1.2 s and the deceleration rate to avoid crash declines by 0.3 [Formula: see text] on average for 100% MPR relative to 0%. The study demonstrated that this safety benefit is also strongly related to the rank of SAS vehicles within a vehicle group. In addition, the conflict locations in the approaching lane gradually move away from the intersection up to where the communication range starts as the MPR increases, which would reduce abrupt vehicle speed changes near pedestrian crosswalks.

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“…Although data privacy and security concerns may prevent AV and CV users from sharing data, X. Shi et al. (2021) showed that AV acceptability can be granted by providing a ride experience to people who are hesitant about AVs, and Acharya and Mekker (2022) showed that CV acceptability is affected by the reputation of the data manager. Through the integration of the advantages of both AV and CV technologies, connected automated vehicles (CAVs) are able to achieve a broader range of precise environment and vehicle dynamic information, which will assist them in obtaining current and future road situations, particularly the provision of information on previously unseen hazards in advance.…”

Section: Introductionmentioning

confidence: 99%

A 2D‐connected automated vehicle car‐following control algorithm

Ran

Zhou

et al. 2023

Computer aided Civil Eng

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Car‐following prevails in daily traffic under various scenarios. However, most connected automated vehicle (CAV) car‐following algorithms in the literature only apply to one‐dimensional CAV control, which limits the application scenarios. This paper presents a two‐dimensional (2D) CAVs car‐following strategy on curved roads in the spatial domain with vehicle‐to‐vehicle and vehicle‐to‐infrastructure communication to expand the car‐following application scenarios. This control strategy constructs a 2D car‐following equilibrium policy by extending the simplified Newell's car‐following model. Based on that, a constrained optimal CAV car‐following control in the spatial domain is constructed to maintain the inter‐vehicle spacing and speed difference while regulating the lane deviation and avoiding work zones. As demonstrated by numerical results, our proposed algorithm maintains a high degree of consistency between equilibrium spacing and vehicle speed while duplicating the trajectory of the leading vehicle, implying empirical string stability. The results also suggest the robustness of handling different scenarios.

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Importance of the reputation of data manager in the acceptance of connected vehicles

Cited by 16 publications

References 18 publications

Data File Security Strategy and Implementation Based on Fuzzy Control Algorithm

Data File Security Strategy and Implementation Based on Fuzzy Control Algorithm

Safety Benefits of Automated Speed Advisory Systems at Signalized Intersections

A 2D‐connected automated vehicle car‐following control algorithm

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