A travel time study captures how long it takes to travel through a defined segment of road — from end to end, and often with a breakdown by individual intersection or segment. The result is a precise picture of where delay is occurring and how severe it is.
GPS-based travel time collection uses probe vehicles or GPS-enabled devices to record second-by-second speed and position data throughout a corridor. The resulting dataset is rich enough to identify exactly where speeds drop, where queues form, and how travel times fluctuate across the day.
Bluetooth-based travel time studies detect anonymized device signals at defined points along a corridor. By calculating the time between detections, analysts can derive average travel times and speeds without the need for probe vehicles — making it an efficient option for longer corridors or multi-location studies.
Travel time data is used to evaluate signal timing optimization, measure the before-and-after impact of infrastructure changes, and build the case for corridor improvements. When congestion is the problem, accurate travel time data is the evidence needed to build the solution.
