Highly automated vehicles (HAV) use sensing technologies to take over the task of driving, while connected vehicles obtain and share information that can allow the driver/vehicle to make better driving decisions. Connected HAVs promise to offer significant improvements in traffic performance, emergence and propagation of congestion due to their capabilities of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication. However, in short-term these vehicles operate along the manually driven vehicles. We employed the microscopic traffic simulation tool Vissim to model HAVs, with communication capabilities, and manually driven vehicles by implementing different behavioral models for car-following and to analyze if and to what extent these vehicles can influence the propagation of congestions along the freeway by means of changing the propagation speed and the throughput of the network.     «

Highly automated vehicles (HAV) use sensing technologies to take over the task of driving, while connected vehicles obtain and share information that can allow the driver/vehicle to make better driving decisions. Connected HAVs promise to offer significant improvements in traffic performance, emergence and propagation of congestion due to their capabilities of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication. However, in short-term these vehicles operate along the manua...     »