A Stochastic Car Following Model

被引：13

作者：

Kendziorra, Andreas ^{[1
]}

Wagner, Peter ^{[1
]}

Toledo, Tomer ^{[2
]}

机构：

[1] German Aerosp Ctr DLR, Inst Transportat Syst, Berlin, Germany

[2] Technion, Haifa, Israel

来源：

INTERNATIONAL SYMPOSIUM ON ENHANCING HIGHWAY PERFORMANCE (ISEHP), (7TH INTERNATIONAL SYMPOSIUM ON HIGHWAY CAPACITY AND QUALITY OF SERVICE, 3RD INTERNATIONAL SYMPOSIUM ON FREEWAY AND TOLLWAY OPERATIONS) | 2016年 / 15卷

关键词：

Car following; stochastic model; modelling car accidents;

D O I：

10.1016/j.trpro.2016.06.017

中图分类号：

U [交通运输];

学科分类号：

08 ; 0823 ;

摘要：

This paper describes a data-driven, stochastic car-following model. From a data-base of car-following episodes, the acceleration a of the following vehicle is modeled as drawn from a distribution that is sampled directly from the data. To make this work, the input variables speed v, speed difference Delta v, net space headway g (gap), and acceleration A of the lead vehicle are discretized, and in each of the resulting bins a different acceleration distribution F-v,F-Delta v,F-g,F-A (a) is estimated. In most cases, the acceleration values are distributed according to a Laplace distribution. Missing data-bins are interpolated. This model is then tested; it is found, that the resulting distributions of safety surrogate measures reproduce the ones found in reality.

引用

页码：198 / 207

页数：10