Connected Autonomous Vehicles on a Mixed Traffic Highway—Speed Harmonization, Capacity Analysis, and Lane Management
Connected Vehicles
Web Based
Description
Connected autonomous vehicles (CAV) technologies will be in the market in the near future. This requires that transportation systems are ready to operate in a mixed traffic environment where a portion of vehicles are CAVs and the remaining are human-driven vehicles. This presentation includes two topics. First, a CAV-based microscopic trajectory-smoothing concept is proposed to harmonize traffic and improve mobility and environmental impacts. The proposed algorithm can be used to prevent or mitigate traffic speed drops near highway bottlenecks. The second topic investigates how different features of CAVs and corresponding lane management policies can improve throughput capacity of mixed traffic from a macroscopic perspective. An analytical model is proposed to quantify mixed traffic highway capacity. The proposed capacity analysis is then extended to a managed lane model to determine the optimal number of lanes to be allocated to CAVs. Financially, numerical examples are presented to investigate three different CAV technology scenarios: neutral, conservative, and aggressive CAV headway settings.
At A Glance
Organization:
ITS PCB - ITS Professional Capacity Building Program