Traffic flow theory-based modeling of bike-vehicle interactions for enhanced safety and mobility

Mustafa Gadah , Xuesong Zhou , Mohammad Abbasi , Vamshi Yellisetty
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Abstract

This paper introduces an innovative approach to enhancing active transportation analysis and decision support by addressing the notable research gap of integrating traffic flow analysis, spatio-temporal trajectory models, and an input-output (moving queue) diagram. We establish a unique four-stage method for assessing bike-vehicle traffic interaction on designated road links: 1) Given the input of volume, we convert it to speed and density using the fundamental diagram and Q-K curves under different congestion conditions. 2) We analyze vehicle trajectories and utilize an input-output (moving queue) diagram to calculate the total exposures between bikes and vehicles as a function of speed difference and the product of bike and vehicle volume, ensuring the balance equations for both vehicle and bike exposure individually. 3) Beginning at the moment a vehicle enters a shared facility, we apply an illustrative method to determine the duration of individual exposure time, adjusting Newell’s car-following model to accommodate for various phases of driver reactions, transitioning from anticipation to overtaking/yield phase. 4) We measure the overall impact of exposure on mobility and safety using a multimodal semi-dynamic traffic assignment that focuses on both delay and exposure-based utility across various facility types and development scenarios. Our research underscores that controlling the flow of bikes and vehicles is a pivotal factor in determining the relative bike exposure to risk, offering valuable insights for the future development of transportation models and safety improvement strategies using a case study from Gilbert, AZ.

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基于交通流理论的自行车-车辆交互建模,提高安全性和机动性
本文通过整合交通流分析、时空轨迹模型和投入-产出(移动队列)图,提出了一种创新的方法来增强主动交通分析和决策支持。我们建立了一种独特的四阶段方法来评估指定路段的自行车-车辆交通互动:1)给定输入量,利用基本图和不同拥堵条件下的Q-K曲线将其转换为速度和密度。2)分析车辆轨迹,利用输入-输出(移动队列)图计算自行车和车辆之间的总暴露作为速度差和自行车与车辆体积乘积的函数,确保车辆和自行车暴露的平衡方程。3)从车辆进入共享设施的那一刻开始,我们应用说说性方法确定个体暴露时间的持续时间,调整Newell的汽车跟随模型以适应驾驶员反应的各个阶段,从预期过渡到超车/退让阶段。4)我们使用多模式半动态交通分配来衡量暴露对移动性和安全性的总体影响,该分配侧重于各种设施类型和开发方案中基于延迟和暴露的效用。我们的研究强调,控制自行车和车辆的流动是决定自行车相对暴露于风险的关键因素,通过对亚利桑那州吉尔伯特的案例研究,为未来交通模式的发展和安全改进策略提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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