The principal objective of this research is to evaluate the multimodal performance of arterial corridors using currently available multimodal level of service (MMLOS) methodologies. Eight different MMLOS approaches are applied to a case study using an arterial corridor section in Austin, Texas. The methodologies applied are: Highway Capacity Manual; Transit Capacity and Quality of Service Manual; Charlotte, NC, Urban Street Design Guidelines; pedestrian and bicycle environmental quality indices; assessment of level of traffic stress; bicycle compatibility index; deficiency index; and Walk Score®, Bike Score®, and Transit Score®. The analysis is focused on the assessment of pedestrian, bicycle, and transit modes. The methodologies are evaluated and contrasted. The paper provides a comprehensive review of the current state of practice of multimodal evaluation and recommendations about the most appropriate approaches to assess multimodal performance of arterial corridors.

Signal retiming is one of the chief responsibilities of municipal transportation agencies, and is an important means of reducing congestion and improving transportation quality and reliability. Many agencies conduct signal retiming and adjustment in a schedule-based manner. However, leveraging a data-driven, need-based approach to signal retiming to prioritize operations could better optimize use of agency resources. Additionally, the growing availability of probe vehicle data has made it an increasingly popular tool for use in roadway performance measurement. This paper presents a methodology for using segment-level probe-based speed data to rank the performance of traffic signal corridors for retiming purposes. This methodology is then demonstrated in an analysis of 79 traffic signal corridors maintained by the City of Austin, Texas. The analysis considers 15-minute speed records for all weekdays in September 2016 and September 2017 to compute metrics and rank corridors based on their relative performance across time periods. The results show that the ranking methodology compares corridors equitably despite differences in road length, functional class, and traffic signal density. Additionally, the results indicate that the corridors prioritized by the ranking methodology represent a much greater potential for improving travel time than the corridors selected under the schedule-based approach.

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