About LaneLogic
LaneLogic is desktop software for processing traffic video into turning movement count data. It is designed for transportation engineering consultants, municipalities, government agencies, researchers, and students who need a clearer and more efficient way to work with intersection footage.
The software uses modern computer vision and machine learning techniques to assist with detecting, tracking, and classifying road users in recorded video. The goal is not to replace professional review. The goal is to reduce repetitive manual counting so transportation professionals can spend more time on analysis, interpretation, and decisions.
About the Developer
LaneLogic was created by Oliver Kerr, an Engineer in Training and graduate of the University of Victoria. Oliver is passionate about transportation engineering, road safety, and the role better data can play in helping people understand how streets and intersections are working.
This project comes from a practical interest in the day-to-day work of transportation engineering. Turning movement counts are important, but preparing them can be time-consuming and expensive. LaneLogic began as an effort to make that workflow more accessible without removing the need for careful engineering judgement.
Why LaneLogic Exists
Good traffic analysis depends on good data. When count data is slow or costly to collect, it can limit how often studies are done and how quickly decisions can be made. LaneLogic is intended to help make video-based counting more practical for everyday studies, student projects, research, and smaller teams that may not always have access to large data collection budgets.
LaneLogic is being developed with feedback from practicing transportation engineers. That feedback is important because the software needs to fit real workflows, real footage, and real reporting requirements, not just a controlled demo.
Looking Ahead
LaneLogic is a long-term project. The current focus is turning movement count processing, model quality, review tools, and reliable exports. Future work is expected to include better models, pedestrian and cyclist workflows, speed studies, safety studies, and support for more complex study setups.
If you work with traffic data and have thoughts on what would make LaneLogic more useful, feedback is welcome. The best version of the tool will come from listening to the people who actually use this kind of data in practice.