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Personalised Public Transportation: A new mobility model for urban and suburban transportation

机译:个性化的公共交通:城市和郊区交通的新型出行模式

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This paper explores a new vision for urban and suburban transportation, termed Personalised Public Transportation, which builds upon recent trends in vehicle sharing, electric vehicles, mobile payments and cloud computing. The goal is to build on the best of the worlds of private and public transportation. Private transportation offers ownership, comfort and convenience, but is higher cost, and subject to externalities (traffic jams, pollution, etc.). Public transportation is efficient, cheaper and has lower energy/carbon footprint, but has a last-mile problem (access) and low spatio-temporal coverage in suburbia. We envisage a future model of leasing public transportation via a service similar to cell-phone services, where the user pays for convenience and sharing of a network. We describe the key design features inherent to this mobility model. The vehicular platform allows the entire fleet to be operated and managed via a cloud computing service in order to maximise convenience and minimise cost. An optimisation formulation to quantify the benefits of Personalised Public Transportation shows that it is a promising approach for transforming future generations of transportation into sustainable ecosystems.
机译:本文探索了一种称为“个性化公共交通”的城市和郊区交通运输的新愿景,该愿景建立在汽车共享,电动汽车,移动支付和云计算的最新趋势的基础上。目标是在私人和公共交通工具的世界上最好的基础上发展。私人运输提供所有权,舒适性和便利性,但是成本较高,并且会受到外部因素(交通拥堵,污染等)的影响。公共交通高效,便宜且具有较低的能源/碳足迹,但郊区存在最后一英里的问题(交通),时空覆盖率低。我们设想了一种未来的模式,该模式将通过类似于手机服务的服务来租赁公共交通,在这种模式下,用户将为便利和共享网络付费。我们描述了此移动性模型固有的关键设计功能。车载平台允许整个车队通过云计算服务进行操作和管理,以最大程度地提高便利性并最小化成本。用于量化个性化公共交通收益的优化公式表明,这是将后代交通转变为可持续生态系统的一种有前途的方法。

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