首页> 外文会议>International Conference on Smart Cities and Green ICT Systems >A Probabilistic Approach to Parking Benefits of Routing Instead of Spotting
【24h】

A Probabilistic Approach to Parking Benefits of Routing Instead of Spotting

机译:一种概率的停放效益而不是发现的概率方法

获取原文

摘要

Urban parking is an important issue in all modern countries. Technological advances, with in-car sensors and always connected smartphones have already paved the way to an ICT solution for this problem. However, every attempt - including that of such a big companies, as Google - has failed to provide a suitable solution. So far, the appeared solutions were centered around the notion of free parking spots. This approach does not take into account the dynamics of the traffic and the drivers outside of the system. Here we propose a fundamentally different approach based on parking probabilities and parking routes. Our solution can truly reduce the time, resource and environmental damage wasted on parking place hunting, while keeping the operational costs low and the users satisfied.
机译:城市停车位是所有现代国家的重要问题。技术进步,带内传感器和始终连接的智能手机已经为此问题铺平了通信技术解决方案。但是,每次尝试 - 包括如此大公司,因为谷歌 - 未能提供合适的解决方案。到目前为止,出现的解决方案围绕着免费停车斑的概念。这种方法没有考虑到系统外部的流量和驱动程序的动态。在这里,我们提出了一种基于停车概率和停车路线的基本不同的方法。我们的解决方案可以真正减少停车位狩猎时浪费的时间,资源和环境损害,同时保持运营成本低,用户满意。

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