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自动-人工驾驶车辆混行下路网可靠性研究

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随着自动驾驶技术的快速发展,自动和人工驾驶车辆混行情况将不可避免,对于自动-人工驾驶混行环境下的交通特性亟待研究.交通路网可靠性可以更全面地反映交通流运行状态,而现有交通路网评价模型未能充分考虑突发事件的干扰,难以准确评估自动-人工混行条件下路网的可靠性.为此,在现有模型基础上,考虑路网受到干扰下的恢复属性,引入道路韧性指数,改进现有路网可靠性模型.基于北京市永乐店镇实测路网数据,利用 Vissim构建自动驾驶条件下混合交通流仿真模型,对不同自动驾驶渗透率下的路网可靠性进行研究.结果表明:考虑道路韧性指数的可靠性评价模型可以有效降低最小误差平方和,显著提高路网可行性评价准确性;在自由流状态下,随着渗透率增加,路段可靠性显著提升,全自动驾驶情形下路段可靠性可提升 18%;在重度阻塞流状态下,当渗透率超过 40%后,路段可靠性呈上升趋势,全自动驾驶情形下路段可靠性可提升 27.8%;当加入较小比例的自动驾驶车辆时,路网可靠性改善并不明显,但当渗透率超过 50%时,该路网可靠性逐渐提升,全自动驾驶情形下路网的可靠性可提升 23%.
Research on reliability of traffic network based on autonomous and manual driving hybrid flow
With the rapid development of autonomous driving technology,it is inevitable that autonomous and manual driving vehicles will mix.Therefore,it is urgent to study the traffic characteristics in the environment of hybrid automated-manual conditions.The reliability of traffic network can reflect the operation state of traffic flow more comprehensively,however,the current road network evaluation model neglects the comprehensive impact of unexpected events,which makes it difficult to accurately evaluate the network reliability under hybrid automated-manual conditions.Therefore,the road resilience index is introduced based on the existing model to enhance the reliability model of the road network.This enhancement takes into account the recovery properties of the road network when it faces interferences or disruptions.Based on the measured road network data of Yongledian Town in Beijing,a hybrid traffic flow simulation model under automatic driving conditions was constructed using Vissim.The model was used to investigate the road network reliability under various automatic driving penetration rates.The results demonstrate that:1)The reliability evaluation model,which takes into account the road toughness index,effectively reduces the minimum error sum of squares and significantly improves the evaluation accuracy.2)In the free-flow state,as the penetration rate of automatic driving vehicles increases,the reliability of the road section shows a significant improvement,with the road reliability in the fully automatic driving condition increasing by 18%.In the blocking flow state,when the penetration rate exceeds 40%,the road reliability demonstrates an upward trend,and in the case of fully automatic driving,the road reliability can be increased by 27.8%.3)When a small proportion of autonomous vehicles are introduced,the reliability of the road network shows only minor improvements.However,when the penetration rate exceeds 50%,the reliability of the road network gradually improves,with the road network reliability in the case of fully autonomous driving increasing by 23%.The research findings can serve as a valuable reference for the evaluation of road network reliability under automatic driving conditions.

traffic planningroad network reliabilityroad toughness indexautonomous driving penetration rateVissim

张志清、王慧竹、朱雷鹏、李鹏飞、张颖、刘瑄

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北京工业大学 城市建设学部,北京 100124

交通规划 路网可靠性 道路韧性指数 自动驾驶渗透率 Vissim

2024

黑龙江工程学院学报
黑龙江工程学院

黑龙江工程学院学报

影响因子:0.414
ISSN:1671-4679
年,卷(期):2024.38(6)