Research on Car-following Model Based on Grey Neural Network

JIANG Hua-tao; CHANG Lin; LOU Yu-qiang; LI Qing; CHEN Da-peng

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Research on Car-following Model Based on Grey Neural Network

更新时间：2026-09-04

- Research on Car-following Model Based on Grey Neural Network
- Vol. 35, Issue 2, Pages: 122-127(2018)
- 作者机构：
  
  1. 中国科学院机构物联网研究发展中心,江苏,无锡,214135
  2. 中国科学院大学机构,北京,101408
  3. 中国科学院微电子研究所机构,北京,100029
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2018
- 稿件说明：
移动端阅览
蒋华涛, 常琳, 娄玉强, 李庆, 陈大鹏. 基于灰色神经网络的车辆跟驰模型研究[J]. 微电子学与计算机, 2018, 35(2): 122-127, 132.

JIANG Hua-tao, CHANG Lin, LOU Yu-qiang, et al. Research on Car-following Model Based on Grey Neural Network[J]. 2018, 35(2): 122-127.
蒋华涛, 常琳, 娄玉强, 李庆, 陈大鹏. 基于灰色神经网络的车辆跟驰模型研究[J]. 微电子学与计算机, 2018, 35(2): 122-127, 132. DOI：

JIANG Hua-tao, CHANG Lin, LOU Yu-qiang, et al. Research on Car-following Model Based on Grey Neural Network[J]. 2018, 35(2): 122-127. DOI：

摘要

在传统的基于最小安全距离的车辆跟驰模型基础上

把灰色模型与神经网络模型结合起来

利用采集的车辆速度信息预测前车未来车速

提前预知前车制动迹象

使自车能在前车制动前减速

有效减少了制动距离对自车司机反应时间的依赖.最后通过MATLAB/Simulink以及Carsim软件进行联合仿真

验证了本文所述模型的有效性.

Abstract

In this paper

the grey model and neural network model are combined on the basis of the traditional car-following model based on the minimum safe distance

the local vehicle using the collected vehicle speed information to predict the front vehicle speed and perceived front car will brake earlier.so

the local car can slow down before the front car

so driver reaction time has little effect on braking distance. MATLAB/Simulink and Carsim will be used to build model to verify the effectiveness of the model in this paper.

关键词

Keywords

references

Song J, Wu Y, Xu Z, etal. Research on car-following model based on SUMO[C]// IEEE, InternationalConference on Advanced Infocomm Technology. Hangzhou, China, IEEE, 2014: 47-55.

朱琳. 城市快速路交通态势评估理论与方法研究[D]. 北京: 北京交通大学, 2013.

杨盼盼. 汽车未来行驶车速预测[D]. 重庆: 重庆大学, 2015.

谢浩. 基于BP神经网络及其优化算法的汽车车速预测[D]. 重庆: 重庆大学, 2014.

孔金生, 郭非, 王希萍. 基于安全距离模型的汽车防追尾避撞方法[J]. 微计算机信息, 2008, 24(32): 251-252. DOI: 251

肖聚亮, 王国栋, 阎祥安, 等. 变步长灰色预测模糊控制研究与应用[J]. 天津大学学报, 2007, 40(7): 859-863. DOI: 859

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