Evaluation of Ride Comfort and Driving Safety for Moving Vehicles on Slender Coastal Bridges

Zhu, Jin; Zhang, Wei; Wu, Mengxue

doi:10.1115/1.4039569

Cited by 21 publications

(8 citation statements)

References 31 publications

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“…Te ISO 2631 standard specifes that 12 vibration components sufciently represent the vibration exposure for a seated driver, as illustrated in Figure 4. Previous studies have indicated that the impact of vibration in the vehicle's longitudinal, lateral, and yawn directions on human comfort can generally be neglected [20][21][22]. Terefore, when transferred to the driver, only fve directions of vibrations are typically considered: vertical vibration of the vehicle foor (z f ), vertical vibration of the backrest (z b ), vertical vibration (z s ), pitch vibration (r y ), and roll vibration (r x ) for the seat.…”

Section: New Methods For Evaluating Driving Comfortmentioning

confidence: 99%

Driving Comfort Analysis Method of Highway Bridge Based on Human-Vehicle-Bridge Interaction

Guo,

Zou,

et al. 2024

Shock and Vibration

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Research on evaluating highway bridge performance through vehicle-bridge interaction (VBI) analysis has made significant advancements. However, when assessing driving comfort, using vehicle acceleration instead of human acceleration poses challenges in accurately representing comfort. First, the paper proposes a finite element analysis method for human-vehicle-bridge spatial interactions (HVBSIs). Then, the importance of wheel path roughness difference is explored when assessing driving comfort. Furthermore, a new method for evaluating driving comfort that includes human and vehicle vibration responses has been proposed, and a simulation example of the steel-concrete composite beam bridge (SCCBB) is used to verify the effectiveness of the proposed method. The results demonstrate that the HVBSI analysis method effectively simulates the interconnected vibrations of the human body, the spatial vehicle model, and the three-dimensional (3D) bridge model. Differences in wheel path roughness significantly impact the roll vehicle vibration responses, which are crucial in driving comfort analysis. The driver’s body vibration response is essential for evaluating driving comfort, and its inclusion leads to increased comfort indices values. In comparison to traditional methods, the overall vibration total value (OVTV) increases by a maximum of 109.04%, and the level of weighted vibration (Leq) increases by a maximum of 6.74%. This leads to an upgrade from grade IV to grade V in terms of comfort level, indicating a reduced comfort.

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Section: New Methods For Evaluating Driving Comfortmentioning

confidence: 99%

Driving Comfort Analysis Method of Highway Bridge Based on Human-Vehicle-Bridge Interaction

Guo,

Zou,

et al. 2024

Shock and Vibration

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“…Most existing evaluation methods for automated vehicles use qualitative evaluation methods, while few quantitative evaluation methods are used. Additionally, most of the existing evaluation methods focus on the performance evaluation of a certain vehicle system [23,24] or on a unilateral performance evaluation of the vehicle (such as an intelligence evaluation [25], comfort evaluation [26], or safety evaluation [27]), and few experts pay attention to the vehicle's comprehensive performance in the existing evaluations of automatic driving systems. Therefore, an evaluation method combining subjective and objective factors is designed and proposed to evaluate the comprehensive performance of automated vehicles.…”

Section: Contribution and Section Arrangementmentioning

confidence: 99%

An Evaluation Method for Automated Vehicles Combining Subjective and Objective Factors

Wang

et al. 2023

Machines

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The rapid development of automated vehicle technology requires reasonable test scenarios and comprehensive evaluation methods. This paper proposes an evaluation method for automated vehicles combining subjective and objective factors. First, we propose a method for automatically generating test scenarios and for batch testing autonomous vehicles. Then, the use of the target layer, total index layer, and index layer of automated vehicles is proposed to establish a more comprehensive evaluation system for automated vehicles. Specifically, the analytic hierarchy process (AHP, subjective) and improved criteria importance though intercriteria correlation (CRITIC, objective) methods are used to determine the weight of the indicators, and a two-level fuzzy comprehensive (subjective and objective) evaluation method is adopted to comprehensively evaluate the performance of the automated vehicles. Finally, the effectiveness of the proposed evaluation method combining subjective and objective factors is verified through virtual simulations and real-world experiments. Through a combination of subjective and objective methods, improved results can be obtained for safety, efficiency, economy, intelligence, and comfort tests.

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“…By pertaining all the relevant information, the vehicles can be simplified as several rigid bodies, suspension systems, and tires connected by a series of springs and dampers [22,23]. The vehicle bodies and the tires are simulated as rigid bodies, whereas the elasticity and dissipation capacities of both the suspension system and the tires are idealized as springs and dampers, respectively.…”

Section: Modelling Of Road Vehiclesmentioning

confidence: 99%

Fatigue Assessment on Suspenders under Stochastic Wind and Traffic Loads Based on In-Situ Monitoring Data

Zhu

Heng

et al. 2019

Applied Sciences

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As a critical component of a suspension bridge, the integrity of the suspenders plays a critical role in the serviceability and reliability of the bridge during its life time. Despite the wide recognition of the importance of the suspenders, very few studies have been devoted to the condition evaluation of suspenders in operation. The present study performs the fatigue assessment on the suspenders accounting for the stochastic wind and traffic loads using the in-situ monitoring data. To this end, a probabilistic numerical framework is proposed to predict the time-dependent fatigue reliability of the suspenders under stochastic wind and traffic loads during the bridge’s life time, based on the linear fatigue damage rule. As a demonstration, the proposed numerical framework is applied to a long-span suspension bridge located in a mountainous canyon. The results indicate that it is of paramount importance to consider both the wind and traffic load effects in the fatigue reliability evaluation of the suspenders. In addition, it was also found that among the suspenders under investigation, the short suspender at the bridge mid-span (S36) is more prone to the fatigue damage, while the long suspender at the end of the bridge girder (S2) is less prone to the fatigue damage. Finally, provided with a target reliability index of 3.0, the fatigue life of the suspenders S36 and S2, considering the life time wind and traffic load, is estimated as 53 years and 167 years, respectively. The present research could provide essential guidelines for the optimization of inspection and replacement in maintenance practices for suspenders.

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Evaluation of Ride Comfort and Driving Safety for Moving Vehicles on Slender Coastal Bridges

Cited by 21 publications

References 31 publications

Driving Comfort Analysis Method of Highway Bridge Based on Human-Vehicle-Bridge Interaction

Driving Comfort Analysis Method of Highway Bridge Based on Human-Vehicle-Bridge Interaction

An Evaluation Method for Automated Vehicles Combining Subjective and Objective Factors

Fatigue Assessment on Suspenders under Stochastic Wind and Traffic Loads Based on In-Situ Monitoring Data

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