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Incorporating the standstill distance and time headway distributions into freeway car-following models and an application to estimating freeway travel time reliability
Journal of Intelligent Transportation Systems ( IF 3.6 ) Pub Date : 2019-11-12 , DOI: 10.1080/15472450.2019.1683450 Chaoru Lu 1 , Jing Dong 2 , Andrew Houchin 3 , Chenhui Liu 4
Journal of Intelligent Transportation Systems ( IF 3.6 ) Pub Date : 2019-11-12 , DOI: 10.1080/15472450.2019.1683450 Chaoru Lu 1 , Jing Dong 2 , Andrew Houchin 3 , Chenhui Liu 4
Affiliation
Abstract Standstill distances and following time headways are two important microsimulation model parameters associated with driver aggression. This paper investigates the distributions of standstill distances and time headways and incorporates these distributions into car-following models to estimate travel time reliability. By incorporating standstill distance and following headway into car-following models as stochastic parameters, a speed-density region can be generated, based on which various travel-time-reliability measures can be calculated. Key findings of this study are as follows: (1) Both standstill distances and time headways follow fairly dispersed distributions. Therefore, it is suggested that microsimulation models should include the option of allowing standstill distances and time headways to follow distributions as well as to be specified separately for different vehicle classes. (2) By incorporating stochastic standstill distance and time headway parameters in car-following models, travel-time-reliability measures can be estimated more precisely and faster compared with using VISSIM.
中文翻译:
将静止距离和车头时距分布纳入高速公路跟驰模型以及估计高速公路行驶时间可靠性的应用
摘要 静止距离和跟车时距是与驾驶员攻击性相关的两个重要的微观仿真模型参数。本文研究了停车距离和车头时距的分布,并将这些分布结合到跟驰模型中,以估计行程时间的可靠性。通过将静止距离和跟车时距作为随机参数纳入跟驰模型中,可以生成速度密度区域,基于该区域可以计算各种行驶时间可靠性度量。本研究的主要发现如下: (1) 静止距离和车头时距都遵循相当分散的分布。所以,建议微观模拟模型应包括允许静止距离和车头时距遵循分布的选项,并针对不同的车辆类别分别指定。(2) 通过在跟驰模型中加入随机停车距离和车头时距参数,与使用 VISSIM 相比,可以更精确、更快地估计旅行时间可靠性度量。
更新日期:2019-11-12
中文翻译:
将静止距离和车头时距分布纳入高速公路跟驰模型以及估计高速公路行驶时间可靠性的应用
摘要 静止距离和跟车时距是与驾驶员攻击性相关的两个重要的微观仿真模型参数。本文研究了停车距离和车头时距的分布,并将这些分布结合到跟驰模型中,以估计行程时间的可靠性。通过将静止距离和跟车时距作为随机参数纳入跟驰模型中,可以生成速度密度区域,基于该区域可以计算各种行驶时间可靠性度量。本研究的主要发现如下: (1) 静止距离和车头时距都遵循相当分散的分布。所以,建议微观模拟模型应包括允许静止距离和车头时距遵循分布的选项,并针对不同的车辆类别分别指定。(2) 通过在跟驰模型中加入随机停车距离和车头时距参数,与使用 VISSIM 相比,可以更精确、更快地估计旅行时间可靠性度量。