Do autonomous vehicles drive like humans? A Turing approach and an application to SAE automation Level 2 cars

Cascetta, Ennio; Cartenì, Armando; Francesco, Luigi Di

doi:10.1016/j.trc.2021.103499

Cited by 37 publications

(13 citation statements)

References 64 publications

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“…This may be explained also by the low rating of the indicator for the people living in testing areas, implying that it may come as a result of the low actual experience with the new technologies and (most notably) the lack of "hands-on" experience, meeting these technologies as part of the everyday life. Moreover, as indicated also by relevant studies [50] this may be also due to the fact that the "humanity" of AV behaviour is not yet convincing enough, thus implying that further technological improvement is necessary.…”

Section: Discussionmentioning

confidence: 98%

Consumer Acceptance in Measuring Greece’s Readiness for Transport Automation

Gaitanidou

Bekiaris

2022

Future Transportation

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Transport automation is a reality that is quite rapidly penetrating our lives. Relevant technologies are there, continuously evolving and improving their performance, while countries all over the world are already adopting policy and legislation measures to appropriately introduce their deployment. What is however of major interest is how people and societies as a whole welcome this revolutionary transformation. To measure the preparedness of countries towards autonomous mobility, KPMG has been releasing reports, calculating the Autonomous Vehicles Readiness Index since 2017, thus investigating countries’ level of readiness. In this paper we present the calculations with focus on Consumer Acceptance Pillar for Greece, placing it among the rest of the countries considered. The results show that Greece is still low in the ratings, indicating that, although primary steps have been undertaken, still significant work needs to be carried out in terms of legislation, technological development, infrastructure, testing, awareness and training to foster public acceptance in Greece.

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Section: Discussionmentioning

confidence: 98%

Consumer Acceptance in Measuring Greece’s Readiness for Transport Automation

Gaitanidou

Bekiaris

2022

Future Transportation

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“…Compared with current studies that only focus on AV accidents [49][50][51] or analyze AV and HDV with limited samples 4,7,52 , this paper has provided valuable insights into the factors that contribute to AV in comparison to HDV accidents through the analysis of real-world accidents and multi-source data. Furthermore, the scope of the research has been broadened to encompass both AV and HDV, instead of solely concentrating on different levels of AV accidents without considering a comparison with HDV accidents.…”

Section: Discussionmentioning

confidence: 99%

“…There are many potential bene ts of AVs on tra c safety, such as a reduction in human error, reduced fatigue, and distraction. Cascetta et al (2022) and Friedrich (2016) explored the behavior of SAE automation Level 2 cars and found out that AVs may exhibit some human-like behaviors, being more cautious and following tra c laws more strictly 7,8 . Koopman and Wagner (2017) highlighted the importance of understanding how AVs will interact with human drivers, pedestrians, and other road users.…”

Section: Background and Literature Reviewmentioning

confidence: 99%

A Matched Case-Control Analysis of Autonomous vs Human-Driven Vehicle Accidents

ding,

Abdel-Aty

2023

Preprint

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Despite the recent advancements that autonomous vehicles (AV) have shown in their potential to improve safety and operation, considering differences between AV and human-driven vehicles (HDV) in accidents remain unidentified due to the scarcity of real-world AV accident data. We investigate the difference in accident occurrence between AV levels and HDV by utilizing 2,100 AV (ADS and ADAS) and 35,113 HDV accident data. A matched case-control design was conducted to investigate the impact of different variables on the likelihood of accidents involving AV versus HDV. The analysis suggests that AVs tend to be safer than HDVs in many accident situations. Yet, the likelihood of an AV accident during dawn/dusk or while making turns is greater than that of HDVs in the same situations. Moreover, rear end accidents in which an AV hits an HDV are less common than those where an HDV hits an AV. Our research sheds light on the accident risk disparities between AVs and HDVs, informing future developments in AV technology and safety enhancements.

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“…It is difficult to find common ground on a national or international level, aside from the global scale. A global consensus, however, has established that autonomous vehicles are not associated with driving fatigue, alcohol/drug impairment driving, or even lacking experience, which are all factors that may lead to or contribute to accidents [28]. NHTSA conducted a study for crash causation and examined whether accidents were related to recognition errors such as inadequate surveillance and internal/external distraction [29].…”

Section: Discussionmentioning

confidence: 99%

Evaluating Driver Response to an Advanced Speed Display near Uncontrolled Median Openings

Sheykhfard

Haghighi²,

Kavianpour³

et al. 2022

Sustainability

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Uncontrolled median openings contribute to more road crashes because drivers do not obey traffic laws such as driving between lanes and following speed limits. This study examined the effectiveness of the different types of signs near an uncontrolled median opening in Mahmoud Abad, Iran. There were Signs 1 and 2 with a single message, while Signs 3 and 4 contained multi-messages. An Internet of Things (IoT) test system was developed to collect and record vehicle speed data before and after each sign installation. Results showed that speeding behavior decreased almost immediately after the road signs were installed and remained almost constant until the beginning of uncontrolled median openings. Moreover, multi-message traffic signs reduce vehicle speeds twice as much as single-message signs. Additionally, only multi-message signs are effective at reducing speed limit violations.

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Do autonomous vehicles drive like humans? A Turing approach and an application to SAE automation Level 2 cars

Cited by 37 publications

References 64 publications

Consumer Acceptance in Measuring Greece’s Readiness for Transport Automation

Consumer Acceptance in Measuring Greece’s Readiness for Transport Automation

A Matched Case-Control Analysis of Autonomous vs Human-Driven Vehicle Accidents

Evaluating Driver Response to an Advanced Speed Display near Uncontrolled Median Openings

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