Stefan Hausberger

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“Smart” vehicles of the future are envisioned to aid their drivers in reducing fuel consumption and emissions by wirelessly receiving phase-shifting information of the traffic lights in their vicinity and computing an optimized speed in order to avoid braking and acceleration maneuvers. Previous studies have demonstrated the potential(More)
—Battery electric vehicles (BEV) are envisioned to play a significant role in the future of personal mobility. A key challenge in the transition from internal combustion engine (ICE) powered vehicles to BEV is the limited driving range of the latter, which makes an energy-efficient operation essential. In this work, we analyze how vehicle-to-x (V2X)(More)
Microscopic traffic simulation models coupled with instantaneous emission models have the potential to provide improved assessments of the environmental impact of traffic networks, management strategies and technology implementations. This paper describes a toolbox, which links the microscopic traffic flow simulator VISSIM with the instantaneous emission(More)
After the Vehicular Communication (V2X) technology roll out in 2015, the number of equipped vehicles is assumed to increase slowly. While many Day One V2X applications are related to traffic safety and require a high penetration rate and communication reliability, traffic management applications could still benefit from even few equipped vehicles.(More)
Most applications built upon vehicular communications (V2X) target on increasing traffic safety. They often require a direct communication between at least two vehicles equipped with a communication device. Thereby, a sufficient amount of equipped vehicles is necessary for assuring these applications' functionality. Meanwhile, traffic management needs(More)
The emissions from hot driving conditions, in which the exhaust-after-treatment systems are working properly, continue to decrease, which is why the emissions of cold starts have gained in importance. Traffic emission models are used to estimate and predict vehicle fleet emissions and the air quality of countries, regions, cities, etc. In addition to the(More)
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