Arastoo Karimi , Abrar Hazoor , Arash Hassani Barbin , Giuseppe Marinelli , Marco Bassani
{"title":"接管控制机制对有条件自动驾驶车辆合并操作的影响","authors":"Arastoo Karimi , Abrar Hazoor , Arash Hassani Barbin , Giuseppe Marinelli , Marco Bassani","doi":"10.1016/j.trf.2025.07.024","DOIUrl":null,"url":null,"abstract":"<div><div>On the path to fully autonomous road transport, Conditionally Automated Driving (CAD) provides a shared driving experience between the human driver and the automated driving system (ADS). Critical moments arise when drivers must take-over control of the vehicle from the ADS to continue the driving task or perform a specific manoeuvre that is beyond the ADS capabilities. This study investigated the effects of different Take-Over Control (TOC) mechanisms on driver behaviour and performance during a merging manoeuvre after resuming control from a CAD system. Three TOC mechanisms, (i) the steering wheel, (ii) pedals, and (iii)<!--> <!-->button, were evaluated using the driving simulation. Thirty participants completed three driving sessions on a designed test track. For each session, a single TOC mechanism was activated. Repeated-measures simulation results were analysed using Weibull Accelerated Failure Time with Shared Frailty and linear mixed-effects models. The results showed that, during merging manoeuvres, the steering wheel mechanism led to significantly longer lane-change durations than the button and exhibited lower manoeuvre quality than the pedals, likely due to increased cognitive load. Gender differences were also observed: female drivers commenced lane-change manoeuvres earlier than males but took longer to complete them. The findings offer insights into designing more effective and user-centred TOC mechanisms. In addition, the findings highlight the necessity for more comprehensive designs that consider the variabilities stemming from different ADS interfaces and driver characteristics. Future research should include a broader demographic sample and real-world investigations to further validate the findings and refine these mechanisms.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"114 ","pages":"Pages 1129-1141"},"PeriodicalIF":4.4000,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact of take-over control mechanisms on merging operations of conditionally automated vehicles\",\"authors\":\"Arastoo Karimi , Abrar Hazoor , Arash Hassani Barbin , Giuseppe Marinelli , Marco Bassani\",\"doi\":\"10.1016/j.trf.2025.07.024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>On the path to fully autonomous road transport, Conditionally Automated Driving (CAD) provides a shared driving experience between the human driver and the automated driving system (ADS). Critical moments arise when drivers must take-over control of the vehicle from the ADS to continue the driving task or perform a specific manoeuvre that is beyond the ADS capabilities. This study investigated the effects of different Take-Over Control (TOC) mechanisms on driver behaviour and performance during a merging manoeuvre after resuming control from a CAD system. Three TOC mechanisms, (i) the steering wheel, (ii) pedals, and (iii)<!--> <!-->button, were evaluated using the driving simulation. Thirty participants completed three driving sessions on a designed test track. For each session, a single TOC mechanism was activated. Repeated-measures simulation results were analysed using Weibull Accelerated Failure Time with Shared Frailty and linear mixed-effects models. The results showed that, during merging manoeuvres, the steering wheel mechanism led to significantly longer lane-change durations than the button and exhibited lower manoeuvre quality than the pedals, likely due to increased cognitive load. Gender differences were also observed: female drivers commenced lane-change manoeuvres earlier than males but took longer to complete them. The findings offer insights into designing more effective and user-centred TOC mechanisms. In addition, the findings highlight the necessity for more comprehensive designs that consider the variabilities stemming from different ADS interfaces and driver characteristics. Future research should include a broader demographic sample and real-world investigations to further validate the findings and refine these mechanisms.</div></div>\",\"PeriodicalId\":48355,\"journal\":{\"name\":\"Transportation Research Part F-Traffic Psychology and Behaviour\",\"volume\":\"114 \",\"pages\":\"Pages 1129-1141\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2025-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Research Part F-Traffic Psychology and Behaviour\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1369847825002621\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part F-Traffic Psychology and Behaviour","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1369847825002621","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, APPLIED","Score":null,"Total":0}
Impact of take-over control mechanisms on merging operations of conditionally automated vehicles
On the path to fully autonomous road transport, Conditionally Automated Driving (CAD) provides a shared driving experience between the human driver and the automated driving system (ADS). Critical moments arise when drivers must take-over control of the vehicle from the ADS to continue the driving task or perform a specific manoeuvre that is beyond the ADS capabilities. This study investigated the effects of different Take-Over Control (TOC) mechanisms on driver behaviour and performance during a merging manoeuvre after resuming control from a CAD system. Three TOC mechanisms, (i) the steering wheel, (ii) pedals, and (iii) button, were evaluated using the driving simulation. Thirty participants completed three driving sessions on a designed test track. For each session, a single TOC mechanism was activated. Repeated-measures simulation results were analysed using Weibull Accelerated Failure Time with Shared Frailty and linear mixed-effects models. The results showed that, during merging manoeuvres, the steering wheel mechanism led to significantly longer lane-change durations than the button and exhibited lower manoeuvre quality than the pedals, likely due to increased cognitive load. Gender differences were also observed: female drivers commenced lane-change manoeuvres earlier than males but took longer to complete them. The findings offer insights into designing more effective and user-centred TOC mechanisms. In addition, the findings highlight the necessity for more comprehensive designs that consider the variabilities stemming from different ADS interfaces and driver characteristics. Future research should include a broader demographic sample and real-world investigations to further validate the findings and refine these mechanisms.
期刊介绍:
Transportation Research Part F: Traffic Psychology and Behaviour focuses on the behavioural and psychological aspects of traffic and transport. The aim of the journal is to enhance theory development, improve the quality of empirical studies and to stimulate the application of research findings in practice. TRF provides a focus and a means of communication for the considerable amount of research activities that are now being carried out in this field. The journal provides a forum for transportation researchers, psychologists, ergonomists, engineers and policy-makers with an interest in traffic and transport psychology.