City Scale Modeling and Evaluation of Dedicated Lanes for Connected and Autonomous Vehicles

Computer-readable storage hardware storing instructions that, when executed by a computing device, cause the computing device to perform a process, the process comprising:

• generating a mesoscopic city-scale ABM comprising agents, the ABM corresponding to a city, the generating comprising:
• accessing a road network corresponding to the city and at least an area around the city;
• thinning the road network in correspondence to the city such that there a portion of the road network corresponding to the city has higher fidelity than a portion of the road network corresponding to the area around the city;
• designating one or more roads in the road network as having dedicated CAV lanes;
• incorporating the thinned road network into the ABM;
• generating a CAV lane-choice behavior model that models CAV lane-choice behavior of the agents of the ABM;
• and
• incorporating the CAV lane-choice behavior model into the ABM, wherein the CAV lane-choice behavior informs decisions of the agents on whether to use the dedicated CAV lanes.

A method performed by a computing device, the method comprising:

• generating an agent-based model (ABM), the ABM comprising agents, the generating including incorporating a road network corresponding to a metropolitan geographical area of interest, wherein the ABM can be executed to simulate behavior of the agents;
• the generating the ABM further comprising a road network to the ABM, the road network comprising designations of CAV-dedicated lanes.
• the generating the ABM further comprising implementing a connected autonomous vehicle (CAV) lane-choice behavior model that models CAV lane choice behavior of drivers, the CAV lane-choice behavior model comprising parameters that can be varied to vary lane choice behavior modeled by the lane-choice behavior model;
• applying the lane-choice behavior model to the ABM so that when the ABM is executed the simulated agents behave at least in part according to the lane-choice behavior model, and wherein an execution of the ABM outputs probabilities that users modeled by the agents will use the CAV-dedicated lanes.