互联环境是否有助于提高紧急事件中的驾驶安全和交通效率?

IF 5.7 1区 工程技术 Q1 ERGONOMICS
Nengchao Lyu , Zijun Du , Wei Hao
{"title":"互联环境是否有助于提高紧急事件中的驾驶安全和交通效率?","authors":"Nengchao Lyu ,&nbsp;Zijun Du ,&nbsp;Wei Hao","doi":"10.1016/j.aap.2024.107810","DOIUrl":null,"url":null,"abstract":"<div><div>A connected environment is crucial for improving road traffic safety and efficiency. However, it remains unclear how different connected environments affect the interaction between vehicles and their impact on driving safety and traffic efficiency in scenarios with potential risks, such as forced lane changes during emergency events. To investigate the effects of different connected environments on drivers’ interaction characteristics and their impact on driving safety and traffic efficiency, a group of simulated driving test was implemented in a multi-agent interactive intelligent connected vehicle driving simulation platform. Four types of connected environments were designed, Non-Connected Vehicles (NCV), Front Vehicle Single-Connected Vehicles (FCV), Rear Vehicle Single-Connected Vehicles (RCV), and Double-Connected Vehicles (DCV). Additionally, four different initial headways were tested (10 m, 20 m, 30 m, and 40 m). 40 drivers were recruited to participate in driving simulation experiments, and simulated driving data were collected. The research results indicate that for the front vehicle (FV), connectivity significantly reduces the collision risk with the accident vehicle (TTC<sub>FCV</sub> = 4.238 s, TTC<sub>DCV</sub> = 4.385 s), decreases the maximum longitudinal deceleration of FV (FCV = −1.212 m/s<sup>2</sup>, DCV = −1.022 m/s<sup>2</sup>), and reduces the speed fluctuation of FV (FCV = 4.748 km/h, DCV = 3.784 km/h). For the rear vehicle (RV), benefits are observed only in the FCV environment, where connectivity helps reduce the maximum deceleration of RV (FCV = −1.545 m/s<sup>2</sup>), decrease its speed fluctuation (FCV = 3.852 km/h), and enhance overall traffic efficiency (FCV = 12.133 s). Additionally, the minimum time difference to collision (TDTC) in the RCV environment (2.679 s) is significantly higher compared to other connected environments, and the number of cases with TDTC &lt; 1.5 s (49) is notably lower than in other connected environments (NCV = 101, FCV = 107, DCV = 80). This suggests that the RCV environment effectively reduces the lateral collision risk during lane changes. Overall, while single-vehicle connectivity may help reduce driving risks and improve traffic efficiency, DCV may not significantly enhance vehicle safety and traffic efficiency. When the vehicle headway between FV and RV is 20 m (1.651 s), lateral conflicts between the vehicles are most severe. The maximum longitudinal deceleration of FV and RV also significantly decreases with increasing vehicle headway, and when the vehicle headway exceeds 30 m, the maximum longitudinal deceleration of RV nearly ceases to decrease (−1.993 m/s<sup>2</sup> at 30 m, −1.948 m/s<sup>2</sup> at 40 m). As the distance between the front and rear vehicles (DHW<sub>FV-RV</sub>) increases, the speed of FV becomes more stable, particularly when DHW<sub>FV-RV</sub> is 40 m (M = 4.204 km/h), where the speed fluctuations of FV are significantly lower compared to other vehicle headways. A 30-meter vehicle headway (M = 5.684 km/h) is more effective in maintaining speed stability for RV. Although travel time increases with the increase in DHW<sub>FV-RV</sub>, this change does not show a significant difference. Overall, to ensure traffic efficiency, a vehicle headway of 30 m generally satisfies lane-change safety requirements and provides more stable vehicle speed and acceleration.</div></div>","PeriodicalId":6926,"journal":{"name":"Accident; analysis and prevention","volume":"208 ","pages":"Article 107810"},"PeriodicalIF":5.7000,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Does connected environment contribute to the driving safety and traffic efficiency improvement in emergency events?\",\"authors\":\"Nengchao Lyu ,&nbsp;Zijun Du ,&nbsp;Wei Hao\",\"doi\":\"10.1016/j.aap.2024.107810\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>A connected environment is crucial for improving road traffic safety and efficiency. However, it remains unclear how different connected environments affect the interaction between vehicles and their impact on driving safety and traffic efficiency in scenarios with potential risks, such as forced lane changes during emergency events. To investigate the effects of different connected environments on drivers’ interaction characteristics and their impact on driving safety and traffic efficiency, a group of simulated driving test was implemented in a multi-agent interactive intelligent connected vehicle driving simulation platform. Four types of connected environments were designed, Non-Connected Vehicles (NCV), Front Vehicle Single-Connected Vehicles (FCV), Rear Vehicle Single-Connected Vehicles (RCV), and Double-Connected Vehicles (DCV). Additionally, four different initial headways were tested (10 m, 20 m, 30 m, and 40 m). 40 drivers were recruited to participate in driving simulation experiments, and simulated driving data were collected. The research results indicate that for the front vehicle (FV), connectivity significantly reduces the collision risk with the accident vehicle (TTC<sub>FCV</sub> = 4.238 s, TTC<sub>DCV</sub> = 4.385 s), decreases the maximum longitudinal deceleration of FV (FCV = −1.212 m/s<sup>2</sup>, DCV = −1.022 m/s<sup>2</sup>), and reduces the speed fluctuation of FV (FCV = 4.748 km/h, DCV = 3.784 km/h). For the rear vehicle (RV), benefits are observed only in the FCV environment, where connectivity helps reduce the maximum deceleration of RV (FCV = −1.545 m/s<sup>2</sup>), decrease its speed fluctuation (FCV = 3.852 km/h), and enhance overall traffic efficiency (FCV = 12.133 s). Additionally, the minimum time difference to collision (TDTC) in the RCV environment (2.679 s) is significantly higher compared to other connected environments, and the number of cases with TDTC &lt; 1.5 s (49) is notably lower than in other connected environments (NCV = 101, FCV = 107, DCV = 80). This suggests that the RCV environment effectively reduces the lateral collision risk during lane changes. Overall, while single-vehicle connectivity may help reduce driving risks and improve traffic efficiency, DCV may not significantly enhance vehicle safety and traffic efficiency. When the vehicle headway between FV and RV is 20 m (1.651 s), lateral conflicts between the vehicles are most severe. The maximum longitudinal deceleration of FV and RV also significantly decreases with increasing vehicle headway, and when the vehicle headway exceeds 30 m, the maximum longitudinal deceleration of RV nearly ceases to decrease (−1.993 m/s<sup>2</sup> at 30 m, −1.948 m/s<sup>2</sup> at 40 m). As the distance between the front and rear vehicles (DHW<sub>FV-RV</sub>) increases, the speed of FV becomes more stable, particularly when DHW<sub>FV-RV</sub> is 40 m (M = 4.204 km/h), where the speed fluctuations of FV are significantly lower compared to other vehicle headways. A 30-meter vehicle headway (M = 5.684 km/h) is more effective in maintaining speed stability for RV. Although travel time increases with the increase in DHW<sub>FV-RV</sub>, this change does not show a significant difference. Overall, to ensure traffic efficiency, a vehicle headway of 30 m generally satisfies lane-change safety requirements and provides more stable vehicle speed and acceleration.</div></div>\",\"PeriodicalId\":6926,\"journal\":{\"name\":\"Accident; analysis and prevention\",\"volume\":\"208 \",\"pages\":\"Article 107810\"},\"PeriodicalIF\":5.7000,\"publicationDate\":\"2024-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Accident; analysis and prevention\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0001457524003555\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ERGONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accident; analysis and prevention","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0001457524003555","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ERGONOMICS","Score":null,"Total":0}
引用次数: 0

摘要

互联环境对于提高道路交通安全和效率至关重要。然而,目前仍不清楚不同的互联环境如何影响车辆之间的交互,以及在具有潜在风险的场景(如紧急事件中的强制变道)中它们对驾驶安全和交通效率的影响。为了研究不同互联环境对驾驶员交互特征的影响及其对驾驶安全和交通效率的影响,我们在多代理交互式智能互联汽车驾驶模拟平台上实施了一组模拟驾驶测试。设计了四种互联环境,分别是非互联车辆(NCV)、前车单互联车辆(FCV)、后车单互联车辆(RCV)和双互联车辆(DCV)。此外,还测试了四种不同的初始车距(10 米、20 米、30 米和 40 米)。招募了 40 名驾驶员参与驾驶模拟实验,并收集了模拟驾驶数据。研究结果表明,对于前方车辆(FV),连通性显著降低了与事故车辆的碰撞风险(TTCFCV = 4.238 s,TTCCDCV = 4.385 s),减小了 FV 的最大纵向减速度(FCV = -1.212 m/s2,DCV = -1.022 m/s2),并减小了 FV 的速度波动(FCV = 4.748 km/h,DCV = 3.784 km/h)。对于后方车辆(RV)而言,只有在 FCV 环境中才能观察到互联互通的好处,它有助于降低 RV 的最大减速度(FCV = -1.545 m/s2),减少其速度波动(FCV = 3.852 km/h),并提高整体交通效率(FCV = 12.133 s)。此外,RCV 环境中的最小碰撞时间差(TDTC)(2.679 秒)明显高于其他互联环境,而 TDTC < 1.5 秒的案例数(49)明显低于其他互联环境(NCV = 101、FCV = 107、DCV = 80)。这表明,RCV 环境可有效降低变道时的横向碰撞风险。总之,虽然单车互联可能有助于降低驾驶风险和提高交通效率,但 DCV 可能不会显著提高车辆安全性和交通效率。当 FV 和 RV 之间的车距为 20 米(1.651 秒)时,车辆之间的横向冲突最为严重。FV 和 RV 的最大纵向减速度也随着车头间距的增加而明显减小,当车头间距超过 30 米时,RV 的最大纵向减速度几乎不再减小(30 米时为-1.993 m/s2,40 米时为-1.948 m/s2)。随着前后车距(DHWFV-RV)的增加,FV 的速度变得更加稳定,特别是当 DHWFV-RV 为 40 米(M = 4.204 km/h)时,FV 的速度波动明显小于其他车距。30 米的车头间距(M = 5.684 公里/小时)能更有效地保持 RV 的速度稳定性。虽然行车时间会随着 DHWFV-RV 的增加而增加,但这一变化并没有显示出明显的差异。总体而言,为确保交通效率,30 米的车头间距一般能满足变道安全要求,并能提供更稳定的车速和加速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Does connected environment contribute to the driving safety and traffic efficiency improvement in emergency events?
A connected environment is crucial for improving road traffic safety and efficiency. However, it remains unclear how different connected environments affect the interaction between vehicles and their impact on driving safety and traffic efficiency in scenarios with potential risks, such as forced lane changes during emergency events. To investigate the effects of different connected environments on drivers’ interaction characteristics and their impact on driving safety and traffic efficiency, a group of simulated driving test was implemented in a multi-agent interactive intelligent connected vehicle driving simulation platform. Four types of connected environments were designed, Non-Connected Vehicles (NCV), Front Vehicle Single-Connected Vehicles (FCV), Rear Vehicle Single-Connected Vehicles (RCV), and Double-Connected Vehicles (DCV). Additionally, four different initial headways were tested (10 m, 20 m, 30 m, and 40 m). 40 drivers were recruited to participate in driving simulation experiments, and simulated driving data were collected. The research results indicate that for the front vehicle (FV), connectivity significantly reduces the collision risk with the accident vehicle (TTCFCV = 4.238 s, TTCDCV = 4.385 s), decreases the maximum longitudinal deceleration of FV (FCV = −1.212 m/s2, DCV = −1.022 m/s2), and reduces the speed fluctuation of FV (FCV = 4.748 km/h, DCV = 3.784 km/h). For the rear vehicle (RV), benefits are observed only in the FCV environment, where connectivity helps reduce the maximum deceleration of RV (FCV = −1.545 m/s2), decrease its speed fluctuation (FCV = 3.852 km/h), and enhance overall traffic efficiency (FCV = 12.133 s). Additionally, the minimum time difference to collision (TDTC) in the RCV environment (2.679 s) is significantly higher compared to other connected environments, and the number of cases with TDTC < 1.5 s (49) is notably lower than in other connected environments (NCV = 101, FCV = 107, DCV = 80). This suggests that the RCV environment effectively reduces the lateral collision risk during lane changes. Overall, while single-vehicle connectivity may help reduce driving risks and improve traffic efficiency, DCV may not significantly enhance vehicle safety and traffic efficiency. When the vehicle headway between FV and RV is 20 m (1.651 s), lateral conflicts between the vehicles are most severe. The maximum longitudinal deceleration of FV and RV also significantly decreases with increasing vehicle headway, and when the vehicle headway exceeds 30 m, the maximum longitudinal deceleration of RV nearly ceases to decrease (−1.993 m/s2 at 30 m, −1.948 m/s2 at 40 m). As the distance between the front and rear vehicles (DHWFV-RV) increases, the speed of FV becomes more stable, particularly when DHWFV-RV is 40 m (M = 4.204 km/h), where the speed fluctuations of FV are significantly lower compared to other vehicle headways. A 30-meter vehicle headway (M = 5.684 km/h) is more effective in maintaining speed stability for RV. Although travel time increases with the increase in DHWFV-RV, this change does not show a significant difference. Overall, to ensure traffic efficiency, a vehicle headway of 30 m generally satisfies lane-change safety requirements and provides more stable vehicle speed and acceleration.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
11.90
自引率
16.90%
发文量
264
审稿时长
48 days
期刊介绍: Accident Analysis & Prevention provides wide coverage of the general areas relating to accidental injury and damage, including the pre-injury and immediate post-injury phases. Published papers deal with medical, legal, economic, educational, behavioral, theoretical or empirical aspects of transportation accidents, as well as with accidents at other sites. Selected topics within the scope of the Journal may include: studies of human, environmental and vehicular factors influencing the occurrence, type and severity of accidents and injury; the design, implementation and evaluation of countermeasures; biomechanics of impact and human tolerance limits to injury; modelling and statistical analysis of accident data; policy, planning and decision-making in safety.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信