Vehicle-infrastructure communication opens up new ways to improve traffic flow efficiency at signalized intersections. We have investigated, by means of simulation, a concept of a traffic-light assistant (TLA) containing three strategies to optimize the approach to and starting from traffic lights: 'economic approach', 'anticipative start', and 'flying start'. The strategies are based on V2X communication: In order to implement the TLA, equipped vehicles must obtain switching information of the relevant traffic lights and - as in the self-controlled signal strategy - counting data from a detector at least 100 m upstream of the traffic light. Complex simulations including all interactions show that, for comparatively low traffic demand, the TLA is effective. To quantify this, we introduced relative performance indexes which we consider to be the most universal approach to assess penetration effects of individual-vehicle based ITS. For our specific setting (maximum speed 50 km/h, cycle time 60 s, green time 30 s), we obtained performance indexes of about 4% for most metrics if traffic demand is low. We obtain higher values for higher maximum speeds and lower cycle times, and lower values for a higher demand. While the relative performance is generally lower than that of the traffic-adaptive ACC on freeways (about 25%), the individual advantage kicks in with the first equipped vehicle, in contrast to traffic-adaptive ACC.
Simulation study of a traffic light assistant based on vehicle-infrastructure communication
2013
12 Seiten, Bilder, 14 Quellen
Aufsatz (Konferenz)
Englisch
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