Margarida Urbano, Muhammad Alam, J. Ferreira, J. Fonseca, Paulo Simioes
{"title":"Cooperative driver stress sensing integration with eCall system for improved road safety","authors":"Margarida Urbano, Muhammad Alam, J. Ferreira, J. Fonseca, Paulo Simioes","doi":"10.1109/EUROCON.2017.8011238","DOIUrl":null,"url":null,"abstract":"Understanding drivers' behavior under various challenging situations, to avoid accidents, is considered a key research area in the field of safety for Intelligent Transportation System (ITS). Various events (stressors) occurring while driving vehicles may negatively impact drivers' ability to detect and react to unpredictable incident that can possibly cause accidents. A cooperative stress detection system, in which drivers stress levels are continuously monitored and anonymously disseminated to other vehicles and to roadside units (RSUs), may contribute to the early detection of potentially dangerous situations and road's critical sections, thus increasing road safety. Therefore, this paper presents an experimental assessment on the feasibility of such visionary system. For this purpose, we estimate the driver emotional state relying on previously identified user emotional profiles and stress modeling techniques. The envisioned cooperative stress detection system is integrated with eCall system and vehicular communications based on the IEEE 802.11p/ETSI ITS G5, to communicate with on-board units (OBU) of other vehicles and roadside units (RSU). The eCall system is mainly used to inform the public health authorities and ensure on-time medical assistance. Real-world tests, consisting six drivers and two different cities, are performed to validate the functionality of the proposed system.","PeriodicalId":114100,"journal":{"name":"IEEE EUROCON 2017 -17th International Conference on Smart Technologies","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE EUROCON 2017 -17th International Conference on Smart Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EUROCON.2017.8011238","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
Understanding drivers' behavior under various challenging situations, to avoid accidents, is considered a key research area in the field of safety for Intelligent Transportation System (ITS). Various events (stressors) occurring while driving vehicles may negatively impact drivers' ability to detect and react to unpredictable incident that can possibly cause accidents. A cooperative stress detection system, in which drivers stress levels are continuously monitored and anonymously disseminated to other vehicles and to roadside units (RSUs), may contribute to the early detection of potentially dangerous situations and road's critical sections, thus increasing road safety. Therefore, this paper presents an experimental assessment on the feasibility of such visionary system. For this purpose, we estimate the driver emotional state relying on previously identified user emotional profiles and stress modeling techniques. The envisioned cooperative stress detection system is integrated with eCall system and vehicular communications based on the IEEE 802.11p/ETSI ITS G5, to communicate with on-board units (OBU) of other vehicles and roadside units (RSU). The eCall system is mainly used to inform the public health authorities and ensure on-time medical assistance. Real-world tests, consisting six drivers and two different cities, are performed to validate the functionality of the proposed system.
了解驾驶员在各种挑战情况下的行为,以避免事故发生,是智能交通系统安全领域的一个重要研究方向。驾驶车辆时发生的各种事件(压力源)可能会对驾驶员检测和应对可能导致事故的不可预测事件的能力产生负面影响。合作压力检测系统可以持续监测驾驶员的压力水平,并匿名向其他车辆和路边单位(rsu)传播,这可能有助于及早发现潜在的危险情况和道路的关键路段,从而提高道路安全。因此,本文对该视觉系统的可行性进行了实验评估。为此,我们根据先前确定的用户情绪概况和压力建模技术来估计驾驶员的情绪状态。设想中的协同应力检测系统与eCall系统和基于IEEE 802.11p/ETSI ITS G5的车载通信集成在一起,与其他车辆的车载单元(OBU)和路边单元(RSU)进行通信。呼叫系统主要用于通知公共卫生当局并确保及时的医疗援助。为了验证该系统的功能,我们在两个不同的城市进行了六名司机的实际测试。