Project description

Automated Traffic Signal Performance Measures (ATSPM)1 aim to provide comprehensive performance measures using traffic controller and vehicle data at different resolution levels. These measures however do not currently include consideration for fuel consumption or greenhouse gases. Moreover, the compartmentalization of measures in terms of input data at different resolutions and different types is too rigid to be applicable to a broad set of practical settings. We propose to rework indices on vehicle delay, pedestrian delay, greenhouse emissions, and fuel consumption for relatively low-resolution controller data and CAV data. These will be combined into a single score, which can then used for ranking of corridors. Specific objectives are: • Models which ingest data from stop bar/advanced loop detectors, pedestrian call logs, as well as connected vehicle data to estimate range of queue length profiles at intersections • Calibrate the proposed queue length estimation models in PTV VISSIM • Derive vehicle/pedestrian delay, emissions and fuel consumption from queue length • Comparison of performance indices under existing (if available) and optimized traffic signal plans • Combine multiple indices into a single score for corridor by utilizing user (Caltrans) preferences