Data-powered solutions to help improve transportation planning and management.
Transportation planning has always been a data-centric discipline — applying scientific methods to better understand and explain the dynamics of transportation systems. With advances in sensors and data science, we believe that municipalities are positioned to understand their transit ecosystems better than they have ever before.
To help agencies and policymakers make sense of the fast-changing world of transportation, Arity is exploring solutions in four main areas:
With the proliferation of mobile phones, sensors, and “big data,” municipalities have an opportunity to expand their data collection toolset beyond fielding surveys or buying “exhaust” generated from other companies. We believe there is an opportunity to help you collect your own transportation “big data” from your citizenry, gaining the benefits of observed data while establishing control of the collection methodology.
Simply gathering data, of course, is not sufficient. Actionable insights must be derived from various data sources in order to build short- and long-term transportation plans. Given the billions of miles of telematics data that Arity has already analyzed, plus decades of crash data, we believe we can help you jump start analysis. Whether it be focused on specific topics like road safety and crashes, or broader topics like multi-modal mobility patterns, we are focused on helping agencies move more quickly to get meaningful intelligence out of data, whether ours or yours.
Transportation policy involves the coordination of many different teams and jurisdictions. To be successful and to make strides in transportation policy, you must get the buy-in of various governmental stakeholders, as well as the general public. By understanding the data at your fingertips, we believe we can help you better communicate and collaborate with all parties involved.
The work cannot stop once a project completes — impact must be measured. Whether it be a change to infrastructure, expanded public education, or somewhere in between, you must understand the effect interventions are having on the system — and whether or not they are nudging the intended behaviors. To best understand holistic performance of the system, we believe that you must be able to bring your own data, consolidate it with third-party data, and layer it onto a view of what’s happening in the system — preferably in real-time.
We are actively working to build solutions in each of these areas — and would love your input.
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