The Planning Process

Successful planning involves public agencies at the state, regional and local levels, along with potentially dozens of interested stakeholder communities. Mobile and web-based tools can facilitate effective coordination and collaboration among these many groups, supporting the life cycle of projects from submission, definition, review and assessment all the way through programming, financing, and execution. Across the US, Cambridge Systematics software supports these activities and improves the outcome of the planning process.

Project Evaluation and Prioritization

Every transportation investment has impacts, and the accurate assessment of these impacts is fundamental to the planning process. Information systems can apply sophisticated analytics to estimate costs and compute the transportation benefits and economic impacts of transportation projects. These systems also enable planners to see how changes in agency and community priorities impact the rankings, priority, and optimal allocation of resources across investments. Our experience spans capital projects and operating strategies across Federal, state and local agencies.

Planning Software

Planning is a complex process, and good planning requires high-quality information on transportation needs, services, and the costs and potential impacts of transportation investments. CS develops mobile and web-based software that improves planning through sharing important data, providing quality cost and benefit assessments, and facilitating the collaboration process.

Market Data and Forecasts

Cambridge Systematics builds systems to manage the transportation data and forecasts that are essential to planning. These systems let planners manage and visualize everything from trade flows and traffic counts, to real-time speed and performance data, to travel demand forecasts generated through next-generation activity-based modeling systems.  Our team combines the domain and technical expertise to develop the right tools, from small scale inventory tools to massive data warehouses.