D-RIDE Challenges
•Implementing controls to minimize safety concerns regarding sharing a vehicle with a stranger
•Lack of established rideshare infrastructure (meeting points and drop-off locations)
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The scan of current practice summarized the state of the current practice and concluded that there are few true “active” real-time multimodal decision support systems in the U.S. that account for all available modes of travel.  The closest systems to this goal are the under development, Integrated Corridor Management (ICM) Systems previously reviewed to be deployed in two locations: Dallas, Texas and San Diego, California.  Even with these latest developments in thinking, there is no uniform commitment to build a true multimodal decision support system.  There are a few cases which integrate two modes to some degree, e.g. incident management routing using both freeway and arterial routes.  One of the more interesting systems studied was the Chicago Metro area’s TODSS that uses external feeds of freeway and arterial data to implement operation rules for the Pace Suburban Bus System.  In some systems surveyed, there was no decision support system, but the elements to support such a system existed.
Most existing decision support systems discovered were associated with freeway management systems – from a lessons learned perspective, these deployments can be extrapolated to future multimodal systems.  Interesting lessons can be drawn from two non-freeway DSS systems reviewed: the Maintenance Decision Support System (IDTO) for winter weather mitigation and the transit-based TODSS referred to above.
Transit Operations Decision Support Systems (TODSS), Core Evaluation and Update Recommendations, 2010 FTA-IL-26-7009-2009.2