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Optibus: Enabling smarter public transport systems through real-time analytics of in-motion big data
技术
- 分析与建模 - 实时分析
- 分析与建模 - 大数据分析
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 运输
适用功能
- 物流运输
用例
- 实时定位系统 (RTLS)
- 公共交通管理
- 车队管理
服务
- 云规划/设计/实施服务
- 数据科学服务
挑战
公交公司面临着巨大的挑战,即如何优化员工和车辆的利用率,以最大限度地提高客户满意度,同时最大限度地降低运营成本和碳排放。车辆故障、事故、恶劣天气、司机或乘客生病、施工延误和交通拥堵等事件都可能打乱精心规划的时间表。传统的车辆和工作人员运营规划是一个离线过程,需要大量人工,无法快速或轻松地适应不断变化的现实条件。因此,公交公司倾向于保留昂贵的备用车辆和工作人员来填补时间表的空白。Optibus 认识到,公交公司每年因调度效率低下、车队规模过大以及对意外事件的响应延迟而浪费数百万美元。
关于客户
Optibus Ltd. 成立于 2011 年,总部位于以色列内坦亚,专门为公共交通公司提供智能优化解决方案。该公司利用独特的基于算法的技术,帮助以色列及其他地区的公交公司实时优化运营调度。Optibus 希望通过为公交公司提供智能工具和解决方案来进行实时运营规划和优化,从而重塑公共交通服务的提供方式。
解决方案
Optibus 使用在 SoftLayer 云平台上运行的 IBM InfoSphere BigInsights 和 IBM InfoSphere Streams 软件构建了一个基于算法的智能调度优化平台。该解决方案实时提取公交车数据,包括车载摄像机计算出的 GPS 位置、速度、加速度,甚至乘客人数,并将其与交通和天气数据相结合,让公交车运营商能够全面了解影响服务的关键因素。InfoSphere Streams 为优化引擎提供支持,该引擎使用高级算法来计算可选的重新调度决策。人工操作员可以调整模型并实时收到新的重新调度计划。Optibus 使用 IBM 的 Apache Hadoop 发行版 InfoSphere BigInsights 不断优化 InfoSphere Streams 中使用的模型,分析历史数据以设置每条公交路线的基准。
运营影响
数量效益
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