A Comprehensive Method to Evaluate Ride Comfort of Autonomous Vehicles under Typical Braking Scenarios: Testing, Simulation and Analysis

Zheng, Binshuang; Hong, Zhengqiang; Tang, Junyao; Han, Meiling; Chen, Jiaying; Huang, Xiaoming

doi:10.3390/math11020474

Cited by 8 publications

(5 citation statements)

References 41 publications

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“…In the experiment, different brake pressures were used to obtain multiple groups of CI values. The two-dimensional table of CI and time was observed to analyze the smoothness of automated vehicles during braking [16]. Bachmann et al proposed a method to evaluate the perception of automated vehicles in 1/10 urban scenes by comparing the percentage of time required to cross the lane line with full sensors and with one sensor missing; they evaluated and compared the positioning of target detectors and various sensor fusion configurations based on cameras and LiDAR [17].…”

Section: Evaluation Methods For Automated Vehicle Testingmentioning

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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Section: Evaluation Methods For Automated Vehicle Testingmentioning

confidence: 99%

An Evaluation Method for Automated Vehicles Combining Subjective and Objective Factors

Wang

et al. 2023

Machines

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“…Для оцінки ефективності гальмування ТЗ використовують як засоби моделювання [4,5], так і традиційні дорожні випробування. Електричні ТЗ мають таку ж саму гальмівну ефективність [6,7], як і сучасні дорожні транспортні засоби.…”

Section: аналіз публікаційunclassified

Experimental evaluation of vehicle braking efficiency considering the influence of tires

Saraiev¹,

Saraіevа²,

Danets³

et al. 2023

VEIT

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Problem. Checking the brake system of a vehicle is crucial in terms of assessing its operational safety, and performance indicators and permissible modes are determined by the state standards of Ukraine. However, there are challenges related to the accuracy and objectivity of evaluating the braking efficiency of a car. The coefficient of adhesion between the wheel and the road surface is the primary factor that significantly affects the braking dynamics of a vehicle. This coefficient constantly changes due to various factors such as road surface conditions, tire design and properties, tire effectiveness, and car speed. Assessing the impact of these factors on a car's braking performance is difficult. Goal. The aim of this study is to experimentally determine the influence of tire properties on vehicle braking efficiency by conducting a multifactorial experiment on cars of different brands with different types of tires. Methodology. The study employs the method of conducting braking tests under road conditions using the necessary equipment. Statistical data on braking efficiency parameters were collected from cars equipped with different tire brands. Experimental tests were conducted on Mazda 323F and Hyundai Elantra cars, using tires from various manufacturers such as Sava, Tigar, Nokian, and MICHELIN. The tests were performed on asphalt-concrete surfaces under dry and wet conditions, and the braking efficiency indicators were measured. Originality. The experiment revealed that the quality of the rubber used in car tires has a significant impact on their braking efficiency within a wide range. The deceleration of a category М1 vehicle can exceed the minimum requirements for braking efficiency, established by national and international standards, by 29-67%, depending on the tire brand. This research presents prospects for further development of experimental and statistical studies in this field, aiming to provide a better understanding of car braking efficiency parameters based on tire quality. Practical Value. The data obtained from this study are of practical importance for evaluating the effectiveness of car braking during expert investigations of traffic accidents. This enables experts to draw more objective conclusions about the accident process and determine the driver's ability to avoid such incidents.

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“…A proactive guidance model with predicted traffic conditions and expected choices of drivers can potentially alleviate recurrent congestions or incident-induced impacts by adjusting control measures in advance. Thus, a system that is capable of providing predicted traffic information to drivers can provide a proactive route guidance mechanism that could decrease travel times [24]. Claes and Holvoet explained a proactive traffic route guidance system that utilizes an online embedded simulation distributed across road infrastructures, coupled with a delegate multi-agent system, all operating on the foundation of a symbiotic relationship [25].…”

Section: Introductionmentioning

confidence: 99%

Proactive Coordination of Traffic Guidance and Signal Control for a Divergent Network

Guo,

Zhang,

Chen

et al. 2023

Mathematics

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In the realm of transportation system optimization, enhancing overall performance through the proactive coordination of traffic guidance and signal control in a divergent network can tackle the challenges posed by traffic congestion and inefficiency. Thus, we propose an innovative approach to first allow the information on variable message signs (VMS) that deviates from estimated travel times. This proactive approach guides drivers towards optimal routes from a system-wide perspective, such as minimizing vehicle hours traveled. The deviation is constrained both by the lower bound of drivers’ long-term compliance rate and the upper bound of the favored traffic signal operation. The proposed approach coordinates the traffic guidance system with the signal control system. The traffic signal control system sets the upper limit for information deviation in the traffic guidance system, while the traffic guidance system provides demand predictions for the traffic signal control system. Overall, the objective function of the approach is the network-level performance of all users. We gauge traveler satisfaction as a measure of system credibility, using both a route choice module and a satisfaction degree module established through stated preference surveys. Numerical results demonstrate that proactive-coordinated (PC) strategies outperform reactive-coordinated (RC), proactive-independent (PI), and reactive-independent (RI) strategies by improving the system performance, meanwhile keeping the system trustworthy. Under the normal traffic scenario, the PC strategy reduces total travel time by approximately 10%. Driver satisfaction with the PC strategy increases from a baseline of 76% to 95%. Moreover, in scenarios with sudden changes in either traffic demand or supply, e.g., accidents or large events, the proactive guidance strategy is more flexible and can potentially improve more from the system perspective.

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A Comprehensive Method to Evaluate Ride Comfort of Autonomous Vehicles under Typical Braking Scenarios: Testing, Simulation and Analysis

Cited by 8 publications

References 41 publications

An Evaluation Method for Automated Vehicles Combining Subjective and Objective Factors

An Evaluation Method for Automated Vehicles Combining Subjective and Objective Factors

Experimental evaluation of vehicle braking efficiency considering the influence of tires

Proactive Coordination of Traffic Guidance and Signal Control for a Divergent Network

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