Effects of time-gap settings of adaptive cruise control (ACC) on driving performance and subjective acceptance in a bus driving simulator

Lin, Tsang Wei; Hwang, Sheue Ling; Green, Paul A.

doi:10.1016/j.ssci.2008.08.004

Cited by 61 publications

(25 citation statements)

References 13 publications

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“…Headway is another important moderator variable. Drivers generally feel that close headways (e.g., <0.5 s) induce an elevated sense of workload, risk, and discomfort (Bloomfield, Christensen, Carroll, & Watson, 1996;De Vos, Theeuwes, Hoekstra, & Coëmet, 1997;De Waard et al, 1999;Larburu, Sanchez, & Rodriguez, 2010;Levitan et al, 1998;Lewis-Evans, De Waard, & Brookhuis, 2010;Siebert, Oehl, & Pfister, 2014;Watanabe, Kishimoto, Hayafune, Yamada, & Maede, 1995), not to mention the increased crash risk (Lewis-Evans et al, 2010;Lin, Hwang, & Green, 2009;Lin, Hwang, Su, & Chen, 2008;Van den Beukel & Van der Voort, 2013). In some studies, participants drove with extremely close headways of 0.25 s or less (Cha, 2003;De Waard et al, 1999).…”

Section: Limitations and Moderator Variablesmentioning

confidence: 99%

Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence

Winter

Happee

Martens

et al. 2014

Transportation Research Part F: Traffic Psychology and Behaviou

594

286

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Adaptive cruise control (ACC), a driver assistance system that controls longitudinal motion, has been introduced in consumer cars in 1995. A next milestone is highly automated driving (HAD), a system that automates both longitudinal and lateral motion. We investigated the effects of ACC and HAD on drivers' workload and situation awareness through a meta-analysis and narrative review of simulator and on-road studies. Based on a total of 32 studies, the unweighted mean self-reported workload was 43.5% for manual driving, 38.6% for ACC driving, and 22.7% for HAD (0% = minimum, 100 = maximum on the NASA Task Load Index or Rating Scale Mental Effort). Based on 12 studies, the number of tasks completed on an in-vehicle display relative to manual driving (100%) was 112% for ACC and 261% for HAD. Drivers of a highly automated car, and to a lesser extent ACC drivers, are likely to pick up tasks that are unrelated to driving. Both ACC and HAD can result in improved situation awareness compared to manual driving if drivers are motivated or instructed to detect objects in the environment. However, if drivers are engaged in non-driving tasks, situation awareness deteriorates for ACC and HAD compared to manual driving. The results of this review are consistent with the hypothesis that, from a Human Factors perspective, HAD is markedly different from ACC driving, because the driver of a highly automated car has the possibility, for better or worse, to divert attention to secondary tasks, whereas an ACC driver still has to attend to the roadway.

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Section: Limitations and Moderator Variablesmentioning

confidence: 99%

Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence

Winter

Happee

Martens

et al. 2014

Transportation Research Part F: Traffic Psychology and Behaviou

594

286

View full text Add to dashboard Cite

show abstract

“…Lin et al [10] studied the time-gap of bus ACC system in three aspects: i) preferred time-gaps for expressway driving, ii) time-gaps that maximized safety, and iii) the influence of the secondary tasks to time-gaps. Calvert and Lint [11] studied the negative effect of ACC on the system capacity using the propose ACC control.…”

Section: A Impact Of Caccmentioning

confidence: 99%

Clustering Strategies of Cooperative Adaptive Cruise Control: Impacts on Human-Driven Vehicles

Zhong

Lee

Nejad

et al. 2019

2019 IEEE 2nd Connected and Automated Vehicles Symposium (CAVS)

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As a promising application of connected and automated vehicles (CAVs), Cooperative Adaptive Cruise Control (CACC) is expected to be deployed on the public road in the near term. Thus far the majority of the CACC studies have been focusing on the overall network performance with limited insight on the potential impact of CAVs on human-driven vehicles (HVs). This paper aims to quantify the influence of CAVs on HVs by studying the high-resolution vehicle trajectory data that is obtained from microscopic simulation. Two clustering strategies for CACC are implemented: an ad hoc coordination one and a local coordination one. Results show that the local coordination outperforms the ad hoc coordination across all tested market penetration rates (MPRs) in terms of network throughput and productivity. The greatest performance difference between the two strategies is observed at 30% and 40% MPR for throughput and productivity, respectively. However, the distributions of the hard braking observations (as a potential safety impact) for HVs change significantly under local coordination strategy. Regardless of the clustering strategy, CAVs increase the average lane change frequency for HVs. 30% MPR is the break-even point for local coordination, after which the average lane change frequency decreases from the peak 5.42 to 5.38. Such inverse relationship to MPR is not found in the ah hoc case and the average lane change frequency reaches the highest 5.48 at 40% MPR.

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“…Das vergleichsweise neue Forschungsfeld des assistierten und automatisierten Fahrens wurde bislang vornehmlich hinsichtlich technologischer, rechtlicher, politischer und ethischer Fragestellungen untersucht (vgl. beispielsweise [5], [7], [14], [26], [27], [28], [30], [35], [41], [48], [52], [55], [62]). Automatisiertes Fahren wird definiert als Übergabe der Fahrkontrolle vom Fahrer an das Fahrzeug [63], wobei das Ausmaß des automatisierten Fahrens vom Umfang der Fahrzeugautomatisierung abhängt.…”

Section: Akzeptanzforschung Zu Technologiemediierten Dienstleistungenunclassified

Marktauswirkungen des automatisierten Fahrens

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2015

Autonomes Fahren

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Effects of time-gap settings of adaptive cruise control (ACC) on driving performance and subjective acceptance in a bus driving simulator

Cited by 61 publications

References 13 publications

Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence

Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence

Clustering Strategies of Cooperative Adaptive Cruise Control: Impacts on Human-Driven Vehicles

Marktauswirkungen des automatisierten Fahrens

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