Simulating Mobility to Plan for Electric Minibus Taxis in Sub-Saharan Africa's Paratransit

Aligned Simulation Models for Simulating Africa’s Electric Minibus Taxis

“…Similar to this study, Giliomee et al [17] investigated the reasons for the discrepancy between the two studies which evaluate electric minibus taxis, Hull et al and Abraham et al They compared the actual manifestations of the road infrastructure, taxi routes, and driving behaviour to their virtual manifestations in Abraham et al's simulation. The discrepancies they identified relate to the process that Abraham et al's simulation tool uses to upsample the low-frequency data.…”

“…Inconsistencies 1b, 1d, 2b and 3c all had negligible effect on energy consumption according to Giliomee et al [17], meaning that they could be safely ignored.…”

“…Regarding the two waypoint inconsistencies: Inconsistency 2a caused the vehicle to decelerate and accelerate unnecessarily at each waypoint, rather than simply passing them by. Giliomee et al [17] point out that this would lead to a higher energy consumption and estimate a theoretical compensation factor of −24% to compensate for the error. Since inconsistency 2b mostly affected the total distance that the simulated vehicle travelled, it only affected the total energy consumption, while this study concerns itself with energy consumption per unit distance.…”

“…Regarding the inconsistencies in the virtual driver model: Giliomee et al [17] provide simple remedies to inconsistencies 3a and 3b. Additionally, they find that the energy consumption impact of inconsistency 3c was less than 0.5%, insignificant enough to ignore.…”

“…As described by Giliomee et al [17], inconsistency 1a would be resolved by overlaying the OSM road network with elevation data gathered from NASA [20]. This functionality was implemented and merged into Abraham et al's simulation tool.…”