Bringing smart transport to Texans : ensuring the benefits of a connected and autonomous transport system in Texas—final report.
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2016-11-01
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Abstract:Link to appendices is included.
This project develops and demonstrates a variety of smart-transport technologies, policies, and practices for
highways and freeways using connected autonomous vehicles (CAVs), smartphones, roadside equipment, and related
technologies. The intent is to maximize the benefit of these technologies in terms of improved driver safety, reduced
congestion, and agency cost savings. For example, in a well-implemented system, advanced CAV technologies may
reduce current crash costs by at least $390 billion per year. A poorly implemented system could significantly detract
from or reverse these benefits.
The project’s Phase 1, documented in this report, showcased DSRC-instrumented vehicles for wrong-way driving
alerts, vehicle guidance, and road-surface condition monitoring demonstrations. It developed algorithms for more
accurate vehicle-position information and real-time traffic flow monitoring. It delivered statewide and national
forecasts of fleet evolution, consumer preferences, and Texans’ opinions of CAV policies and technologies. It also
simulated various strategies for smart ramp merges and smart intersection and network operations, under thousands of
case settings, with calculated delay reductions. It anticipated emissions savings from more thoughtful automated
driving and crash savings from more conflict-aware driving. It also analyzed the benefits of shared autonomous vehicle
transit. Recommendations are provided for guiding TxDOT as technologies increasingly become available to the
public, estimated to impact the U. S. economy by as much as $1.3 trillion per year. Recommendations focus on the
need for increasing TxDOT in-house expertise, simulating new systems, developing policy, and updating design
manuals.
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