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Recent developments such as increasing automation and connectivity of vehicles as well as new regulations for real driving emissions lead to a stronger consideration of traffic and traffic control in automotive development. The increasing complexity of vehicular systems requires a highly virtualized development process. Therefore, a cosimulation solution of DYNA4's virtual vehicle with SUMO's microscopic traffic is presented here. Despite increasing automation, virtual test drives often still require a virtual test driver. Thus, the co-simulation solution is extended by combining the driver models of both tools. The operational decision making level of DYNA4 is extended by SUMO's tactical driver decisions, aiming at virtual test drives in complex surrounding traffic with realistic reaction on traffic and traffic control and reduced parametrization effort. By comparing two variants it is shown that a higher reference speed and more aggressive lane change parameters lead to an increase of usage of the left lane and an increase in achieved speeds.

<p><strong>Abstract.</strong> Urban environments are more or less characterized by active travel modes, including the bicycle usage. Present transport infrastructure for bicyclists can often not serve the high traffic volumes, especially in rush hours. Therefore, introducing novel and specific traffic control strategies for bicyclists might serve as supportive element for improving bicycle traffic efficiency and safety. We evaluate a traffic control strategy implying countdown timer displays for bicyclists with one device being permanently installed in Munich (Germany) by (1) extracting cyclist trajectories from video observations before and after the installations, and, (2) introducing a bicycle simulator scenario via a map design approach. The latter includes a sequence of fictional and real road intersections and goes beyond evaluating the present countdown timers in VR, since different other countdown timer display designs are being tested. The whole bicycle simulator study consists of test rides and subsequent questionnaires with test subjects. We explain the design of the first simulator study and show selected results, which imply significant new insights resulting from the first 30 test rides and questionnaires.</p>

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