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The “Green Wave” as an effective mobility program towards sustainable transport in Colombia: A Study Case of City of Cali

机译:“绿浪​​”作为哥伦比亚实现可持续交通的有效出行计划:以卡利市为例

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The welfare of the environment depends on the sustainable management of planet's natural resources. Therefore, the increase and high consumption of non-renewable resources by vehicles is shocking. Which leads to the search for solutions based on vehicular energy efficiency, through the application of intelligent transport systems (ITS) that in turn provide reduce greenhouse gases (GHG). Considering that Valle del Cauca is in 4th place in the ranking of the departments with the most emissions, that more than 90% are due to the energy use of fossil fuels, this proposal presents an opportunity for mitigation actions to achieve GHG reductions, contribute to achieving vehicle transport development objectives, as well as generating economic, social and environmental co-benefits. The research problem addressed in this thesis allows us to obtain a reduction in fuel consumption can be optimized in the city of Cali, through the implementation of a Green Wave ITS application. This decrease can be verified and validated thanks to the quantification a key performance indicator such as: fuel consumption, CO2emission, number of stops and average speed of the route, considering the type of fuel used by the vehicle. In addition, the thesis proposes a validation that verifies the CO2emission factors in the Colombian energy basket.
机译:环境的福祉取决于对地球自然资源的可持续管理。因此,车辆对不可再生资源的增加和高消耗是令人震惊的。通过智能交通系统(ITS)的应用,人们寻求基于车辆能效的解决方案,而智能交通系统又可以减少温室气体(GHG)。考虑到Valle del Cauca在排放量最高的部门中排在第四位,其中90%以上是化石燃料的能源消耗,因此该提案为减排行动提供了机会,以实现减少温室气体,做出贡献实现汽车运输发展目标,以及产生经济,社会和环境共同利益。本论文所解决的研究问题使我们能够通过实施Green Wave ITS应用程序来减少可在卡利市进行优化的燃油消耗。通过量化关键性能指标,例如燃料消耗,二氧化碳,可以验证和确认这一下降。 2 排放,停靠点数和路线的平均速度,要考虑车辆使用的燃料类型。此外,本文提出了验证CO的验证方法。 2 哥伦比亚能源篮子中的排放因子。

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