EasyEV: Monitoring and Querying System for Electric Vehicle Fleets Using Smart Car Data
Electric vehicles (EVs) have great potential as a modern mobility concept. Electricity already relies on a broad infrastructure and is available anywhere in developed countries. Furthermore, EVs are emmission-free which makes them the preferable form of individual transportation in urban areas where air pollution is often alarmingly high. However, operating EVs has several drawbacks compared to common combustion engine cars. The range of most EVs is rarely above 150 km, and when running out of energy, recharging an EV usually takes up to several hours. In order to benefit from the advantages of EVs without being afflicted with the disadvantages, it is advisable to rely on the support from smart systems for trip and charge planning. In the project Shared E-Fleet, the shared use of a fleet of electric cars by a heterogeneous group of drivers is examined. In the presented demo, we introduce a spatio-temporal query system which was developed to support drivers and fleet managers alike. For the driver, the system provides assistance to keep in range of charging stations and provides routing alternatives to a specified destination. For the fleet manager, the system incorporates real-time information to identify possible delays or battery drainages and thereby detect deviations from the fleet schedule to allow for early rescheduling.
KeywordsCost Vector Fleet Manager Expected Delay Traffic Delay Recorded Trajectory
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