01660368

Component

In the future, it is expected that vehicles will be both connected and automated (CAV). This future CAV world will be complex and there will be a lot at stake. Public agencies need to be prepared with the right investments and policies; whether capacity and technology investments, policies concerning shared mobility, or changes in land use, to name a few. Legislatures and communities need to be concerned about the best regulatory framework and financial incentives to put into place. There are many questions to answer and there is a great deal of uncertainty, and communities across the country need help with their strategies, now. The purpose of this investigation was to develop a powerful approach complete with analysis tools to support public planning agencies in this arena. Based on the results of our exploration, the preferred approach is a hybrid of two methods. First, System Dynamics is used to understand the “causality” of various driving forces such as technology, infrastructure capacity, public policies, investments made by public agencies and the private sector, and many other factors. When combined with the capabilities of Robust Decision Making, this customized approach will give policy makers and planners the tools necessary to craft the best strategies possible. The urgency for planning organizations, governing bodies, and transportation agencies to understand and plan for CAV is high. In anticipation of these planning needs, the recommended approach has been defined in detail, piloted and is ready to be implemented across the country and around the world.

This paper was sponsored by TRB committee ABC10 Standing Committee on Strategic Management.

18-02239

English

18p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References

Connected vehicles; Decision making; Intelligent transportation systems; Intelligent vehicles; Transportation planning; Transportation system management

Highways; Operations and Traffic Management; Planning and Forecasting; Policy

Transportation Research Board Annual Meeting 2018 Paper #18-02239

TRIS, TRB, ATRI

Jan 8 2018 10:33AM