Traffic Energy and Emission Reductions at Signalized Intersections: A Study of the Benefits of Advanced Driver Information

Summary of energy/emissions results (grams) LDV24 LDV17Fuel CO 2 Fuel CO 2 Vehicle 1 27.8 87.5 35.0 110.7Vehicle 2 70.6 222.4 93.2 294.8Vehicle 3 64.5 203.1 86.0 272.0 % 3 vs 2 -8.7 -8.7 -7.7 -7.7 (2-1) 42.9 134.9 58.2 184.0(3-1) 36.7 115.6 51.0 161.3 % (3-1) vs (2-1) -14.3 -14.3 -12.4 -12.4 6. Simulation Evaluation In the previous section, we have shown that the advanced driving alert system can provide significant vehicle energy/emissions reductions for a hypothetical vehicle at an intersection. In this section, we present the evaluation of the “traffic” energy/emission reductions of the ADAS in a simulation environment. Under this setting, a group of vehicles can be simultaneously simulated so that the impact of the ADAS on multiple vehicles can be evaluated. The following setup is used in our simulation: • Software : We use PARAMICS, which is high-fidelity microscopic traffic simulation software [22]. One of the key advantages of PARAMICS is that it has an open architecture for integrating plug-in modules to perform specific simulation functions through an API. A plug-in for the ADAS is created and used to adjust vehicle trajectories. We also use the CMEM plug-in for the energy/emissions calculations. •

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