Dataset Information

A dynamical traffic flow model for a cognitive drivers' sensitivity in Lagrangian scope.

ABSTRACT: A new microscopic traffic flow model is established based on heterogeneous driver's sensitivity; in this new model, the driver's sensitivity is defined as being dependent on the headway distances to the preceding vehicle, similar to Bando's optimal velocity function. We introduce the formulation of this cognitive driver's sensitivity utilizing a modified form of Bando's optimal velocity function. A simple methodology, which is used for improving Bando's optimal velocity function, has been implemented for developing the cognitive driver's sensitivity function, which establishes a correlation between the flow field's density and human drivers' responses. The model is highly advanced for introducing a human-driven traffic flow field considering the driver's mental behavioral activity. Using the linear stability condition, we elucidate a neutral stability condition. A series of numerical simulations indicates how the present model describes dynamics that differ from the conventional model, which assumes a constant driver's sensitivity.

SUBMITTER: Hossain MA

PROVIDER: S-EPMC9569355 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature

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A dynamical traffic flow model for a cognitive drivers' sensitivity in Lagrangian scope.

Hossain Md Anowar MA Tanimoto Jun J

Scientific reports 20221015 1

A new microscopic traffic flow model is established based on heterogeneous driver's sensitivity; in this new model, the driver's sensitivity is defined as being dependent on the headway distances to the preceding vehicle, similar to Bando's optimal velocity function. We introduce the formulation of this cognitive driver's sensitivity utilizing a modified form of Bando's optimal velocity function. A simple methodology, which is used for improving Bando's optimal velocity function, has been implem ...[more]

PMID: 36243824

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Project description:ImportanceTo prevent motor vehicle collisions by older drivers, the increased risk of collisions should be considered early. Cognitive decline increases the risk of car collisions. Motoric cognitive risk syndrome (MCR), characterized by the presence of cognitive concerns and slow gait, can be assessed conveniently and is useful to assess the risk of dementia.ObjectiveTo examine the association between MCR assessment findings and car collisions among older drivers in Japan.Design, setting, and participantsThis cross-sectional study used data from a community-based cohort study, the National Center for Geriatrics and Gerontology-Study of Geriatric Syndromes, conducted in Japan from 2015 to 2018. Participants were community-dwelling older adults aged at least 65 years. Data were analyzed from February to March 2023.ExposureMCR was defined as having subjective memory concerns (SMC) and slow gait. Participants were classified into 4 groups: no SMC or slow gait, only SMC, only slow gait, and MCR.Main outcomes and measuresParticipants were asked about the experience of car collisions during the last 2 years and near-miss traffic incidents during the previous year through face-to-face interviews. Odds of experiencing a collision or near-miss traffic incident were assessed using logistic regression.ResultsAmong a total of 12 475 participants, the mean (SD) age was 72.6 (5.2) years, and 7093 (56.9%) were male. The group with only SMC and the group with MCR showed a higher proportion of both car collisions and near-miss traffic incidents than the other groups (adjusted standardized residuals > 1.96; P < .001). Logistic regression analysis showed the only SMC and MCR groups had increased odds of car collisions (only SMC group: odds ratio [OR], 1.48; 95% CI, 1.27-1.72; MCR group: OR, 1.73; 95% CI, 1.39-2.16) and near-miss traffic incidents (only SMC group: OR, 2.07; 95% CI, 1.91-2.25; MCR group: OR, 2.13; 95% CI, 1.85-2.45) after adjusting for confounding factors. After stratifying MCR assessments by objective cognitive impairment, significant associations were still observed. In the only slow gait group, objective cognitive impairment was associated with increased odds of car collisions (OR, 1.96; 95% CI, 1.17-3.28).Conclusions and relevanceIn this cross-sectional study of community-dwelling older drivers in Japan, SMC and MCR were associated with car collisions and near-miss traffic incidents independent from objective cognitive impairment. Future studies should examine the mechanism of these associations in more detail.

Dataset Information

A dynamical traffic flow model for a cognitive drivers' sensitivity in Lagrangian scope.

Publications

A dynamical traffic flow model for a cognitive drivers' sensitivity in Lagrangian scope.

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