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High fidelity estimates of paratransit energy consumption from per-second GPS tracking data
Transportation Research Part D: Transport and Environment ( IF 7.3 ) Pub Date : 2023-03-20 , DOI: 10.1016/j.trd.2023.103695
Christopher Hull , J.H. Giliomee , Katherine A. Collett , Malcolm D. McCulloch , M.J. Booysen

Paratransit, in particular the minibus taxi, is the mainstay of public transport in sub-Saharan Africa. These vehicles are often second-hand, ageing, fuel inefficient, and expensive to operate - issues that electrification can ameliorate. However, modeling and planning large-scale transitions to electric paratransit require reliable estimates of vehicle energy consumption. This paper provides such estimates by applying a vehicle kinetic model to per-second GPS data gathered on minibus taxis. Data include 62 trips across three routes with different driving conditions near Stellenbosch, South Africa. We find a range of energy consumption from 0.29 to 0.51 kWh/km (mean = 0.39 kWh/km). Past estimates in literature relied on per-minute GPS data, which we show leads to inaccurate energy consumption estimates. We recommend new kWh/km values for modeling vehicle operations and grid impact, and discuss how future work can utilize our analysis to advance the transition to electric paratransit sub-Saharan Africa.



中文翻译:

根据每秒 GPS 跟踪数据对辅助客运系统能源消耗的高保真估计

辅助客运系统,尤其是小巴出租车,是撒哈拉以南非洲地区公共交通的主要支柱。这些车辆通常是二手的、老化的、燃料效率低下且运行成本高——电气化可以改善这些问题。然而,建模和规划向电动辅助公交的大规模过渡需要对车辆能耗进行可靠的估算。本文通过将车辆动力学模型应用于小巴出租车上每秒收集的 GPS 数据来提供此类估计。数据包括在南非斯泰伦博斯附近驾驶条件不同的 3 条路线上的 62 次旅行。我们发现能源消耗范围为 0.29 至 0.51 kWh/km(平均值 = 0.39 kWh/km)。文献中过去的估计依赖于每分钟 GPS 数据,我们表明这会导致不准确的能源消耗估计。

更新日期:2023-03-20
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