首页> 外文会议>COTA international conference of transportation professionals >A Vehicular Mobility Model for Ramp Control Based on Artificial Fish Swarm Algorithm
【24h】

A Vehicular Mobility Model for Ramp Control Based on Artificial Fish Swarm Algorithm

机译:基于人工鱼群算法的汽车坡道机动模型

获取原文
获取外文期刊封面目录资料

摘要

We propose an innovative vehicle mobility model based on vehicle-to-vehicle communication and vehicle-to-environment perception. This model is inspired by the artificial fish school algorithm, which can achieve the self-organization of the vehicle formation and mobility on the ramp entrance of freeways. Several experiments are conducted to validate and analysis the proposed model. In addition, the results also display evaluation parameters in traffic engineering for the model. The simulation results prove that this model can represent the mobile vehicles in vehicle-to-vehicle communication scenarios.
机译:我们提出了一种基于车对车通信和车对环境感知的创新型车辆机动性模型。该模型的灵感来自人工鱼群算法,该算法可以实现高速公路坡道入口处车辆形成和机动性的自组织。进行了一些实验,以验证和分析所提出的模型。此外,结果还显示该模型在交通工程中的评估参数。仿真结果表明,该模型可以代表车对车通信场景中的移动车辆。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号