工作区域预警区的车载信息评估

Juan Li, Qing Li, F. Qiao, Lei Yu
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引用次数: 0

摘要

模拟和现场测试表明,互联汽车技术不仅可以提高交通运行的移动性和安全性,还可以降低燃料消耗和废气排放。到目前为止,还没有一个统一的评估程序来评估这些车辆信息在工作区域的表现。本研究的目的是测试、比较和开发一个预警系统,以防止工作区域碰撞的发生,减少车辆排放。本研究的主要目的是对某工作区域预警区域的不同预警信息集进行测试和评价,并从车速、加速速率、制动位置、变道位置、排放和工作负荷等角度对预警系统进行评价。基于NASA-TASK负荷指数对三种预警系统的工作负荷进行了评估。混合音频和图像信息的应用能够减少车辆的总体排放(CO2、CO、HC和NOx)。在音频和图像信息的帮助下,驾驶员往往比在常规情况下更早地识别道路情况,这将对驾驶安全产生积极的影响。特别是,混合信息场景在速度、加速度、制动位置、排放和工作负荷方面优于其他两种场景。
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Assessment of In-Vehicle Messages in the Advance Warning Area of a Work Zone
Simulations and field tests have shown that the connected vehicle technologies would not only enhance the mobility and safety of traffic operation, but also possibly reduce fuel consumption and exhaust emissions. So far, there is no consistent evaluation procedure on the perfomances of these in vehicle messages to drivers in work zone area. The objective of this research is to test, compare and develop a warning system to prevent occurring of work zone crashes and reduce vehicle emission. The main purpose of this study is to test and evaluate the different set of warning messages in the advance warning area of a work zone and develop an evaluation system for the warning system from the perspective of speed, acceleration rate, brake positions, lane changing positions, emission and work load. The work load of the three types of warning system is evaluated based on the NASA-TASK Load Index. The application of the mixed audio and image messages was able to reduce the overall vehicle emissions (CO2, CO, HC, and NOx). With the help of the both audio and image messages, drivers tend to recognize the road situation earlier than in the conventional situation and this will have a positively influence on driving safety. Especially, the mixed messages scenario outweights the other two scenarios in speed, acceleration rate, braking positions, emission, and work load.
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