This study developed and compared eco-driving strategies for different traffic-management measures. Results show that eco-driving in a dedicated lane can substantially reduce energy consumption, which can be improved further by providing the vehicle with information regarding the phase timing of upcoming traffic lights. For vehicles operating in mixed traffic, the energy savings strongly depend on the interaction with other traffic participants. Results show that an eco-driving strategy that limits the maximum inter-vehicle distance leaves less opportunity for eco-driving, and barely benefits from traffic light information. An eco-driving strategy without a maximum-inter-vehicle distance results in higher energy savings and does benefit from traffic light information, but leads to large inter-vehicle distances, which may induce congestion. Generating detailed results on the impact of ecodriving in traffic requires implementing the algorithms in agent based traffic simulations.
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This study developed and compared eco-driving strategies for different traffic-management measures. Results show that eco-driving in a dedicated lane can substantially reduce energy consumption, which can be improved further by providing the vehicle with information regarding the phase timing of upcoming traffic lights. For vehicles operating in mixed traffic, the energy savings strongly depend on the interaction with other traffic participants. Results show that an eco-driving strategy that lim...
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