Automated driving, which is considered to be able to reduce driving workload, enhance driving safety and improve traffic efficiency, has become a research hotspot in recent years. It is believed that traffic flow will consist of manual vehicles and automated vehicles at different automation levels in the near future. Researchers have carried out many studies on mixed traffic; most of them focus on the highway scenario. However, the majority of traffic occurs in urban/suburban road networks, which contains many different scenarios, such as expressways, merging/diverging areas, signalised intersections, trunk roads, branch roads, etc. To evaluate the effect of automated driving in a more realistic way, the authors first take adaptive cruise control (ACC) and cooperative ACC as representatives of automated driving. Then, the authors make simulations at the road network level and investigate macroscopic fundamental diagram in different scenarios. Results show that compared to a highway, the improvement of traffic flow is significantly limited in the road network.
Simulation study on the effect of automated driving in a road network environment
IET Intelligent Transport Systems ; 14 , 4 ; 228-232
2020-03-10
5 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
automated vehicles , manual vehicles , road traffic , traffic efficiency , different automation levels , branch roads , adaptive control , automated driving , driving workload , cooperative ACC , driving safety , suburban road networks , trunk roads , signalised intersections , road vehicles , road safety , traffic flow , road network level , roads , adaptive cruise control , road traffic control , traffic engineering computing , mixed traffic , merging/diverging areas , road network environment
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