A solid well-tooled product with great support when needed
Use Cases and Deployment Scope
Optibus provides a planning and scheduling package to help plan, review, optimize, schedule, block, and run cut our conventional bus network; the solution allows us to flexibly utilize internally generated data based on agency set parameters, as well as import data from common data formats such as Excel tables.
The package is also used to generate data packages for our CAD/AVL system, alongside operational tools such as duty cards and passenger schedule data for end-user publishing.
The solution we are using allows us to move away from fully spreadsheet-based schedules and runcuts which allows for data validation tailored to the industry we work in, significantly reducing human error. This has also allowed us to move away from reliance on third party data preparation, and greater control of the end product.
The package is also used to generate data packages for our CAD/AVL system, alongside operational tools such as duty cards and passenger schedule data for end-user publishing.
The solution we are using allows us to move away from fully spreadsheet-based schedules and runcuts which allows for data validation tailored to the industry we work in, significantly reducing human error. This has also allowed us to move away from reliance on third party data preparation, and greater control of the end product.
Pros
- Optimization of run cutting provides a significant effort reduction, alongside validation that helps avoid parameter errors.
- The ability to publish the output in various different formats allows us to further customize the final product in familiar formats.
- Support levels are very good, and while we have only encountered one issue while using the product (which is an endorsement itself), the fix was completed in less than 24 hours.
Cons
- Some more finely-tuned map generators to allow a passenger-facing map would be a nice to have.
Return on Investment
- While we have no statistical information available on workloads, we have been able to complete more accurate datasets in a small team and been able to streamline processes, especially with the optimization tools that can shave days off of the workload.








