A road traffic accidents prediction model for traffic service robot

Abstract

PurposeIn recent years, the demand for road traffic has continued to increase, but the casualties and economic losses caused by traffic accidents have also remained high. Therefore, the use of social service robots to manage, supervise and warn real-time traffic information has become an inevitable trend of traffic safety management.Design/methodology/approachIn order to explore the inherent objective development law of road traffic accidents, in this paper, the factor analysis (FA) is used to explore the main influencing factors of traffic accidents, then the random forest algorithm is applied to build an FA–RF-based road traffic accident severity prediction model to predict two- and three-category accidents.FindingsBy comprehensively comparing the classification results of the two- and the three-category accident prediction, it also finds that due to the intersection between injuries and fatalities and the lack of necessarily external environmental information, the FA–RF model has a large degree of misjudgment for injuries and fatalities. Therefore, it is recommended to establish a real-time autonomous information communication mechanism between different kinds of social robots, which can improve the prediction of traffic accidents.Originality/value(1) A fusion model of FA–RF is considered to predict traffic accidents, which can be applied in traffic service robot. (2) It is recommended to establish a real-time autonomous information communication mechanism between different kinds of social robots, which can improve the prediction of traffic accidents.

Guest editorial: Social robots, services and applications

“…The fourth group of three papers focused on security enhancement applications. Zhang et al (2022) presented a real-time autonomous information communication mechanism to predict the traffic between different social robots. Chen et al (2022) presented a fault-tolerant content list management unit for real-time streaming systems based on intelligent robot claw machines.…”

Towards corpora creation from social web in Brazilian Portuguese to support public security analyses and decisions

“…For example, analyzing what is published on social networks can provide public security authorities with information to anticipate actions on socially dangerous events, requiring police forces for mitigation or contention (Yue et al, 2019;de Carvalho and Costa, 2021). Another possibility well reported in the literature is the use of posts on social networks to detect or predict crimes or dangerous events of different nature (Aghababaei and Makrehchi, 2018;Marivate and Moiloa, 2016;Zhang et al, 2022) or to support analyzing peoples' opinions and attitudes in crises, as reported by Sv and Ittamalla (2021) and Feng et al (2022) for the case of COVID-19 pandemic. The combat of misinformation that may cause violence against people and public property is another action that can be supported by text analysis tools, as reported by Pang and Ng (2017).…”

“…, 2019; de Carvalho and Costa, 2021). Another possibility well reported in the literature is the use of posts on social networks to detect or predict crimes or dangerous events of different nature (Aghababaei and Makrehchi, 2018; Marivate and Moiloa, 2016; Zhang et al. , 2022) or to support analyzing peoples' opinions and attitudes in crises, as reported by Sv and Ittamalla (2021) and Feng et al.…”