Connected vehicle technologies can improve roadway capacity by 20 percent with relatively low market penetration .

Experience with simulation modeling used to evaluate connected vehicle technology

Date Posted
05/09/2013
Identifier
2013-B00841
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A Methodology to Estimate Capacity Impact due to Connected Vehicle Technology

Summary Information

The objective of this study was to develop a simplified Monte Carlo style simulation model to quantify the benefits of connected vehicle technology (CVT) in terms of increasing highway capacity at varied market penetration rates. A Gipps' car following model was used to simulate impacts and account for variations in driver perception and reaction times.

Three driving modes were analyzed (Non-CVT; CVT assisted; and CVT automated). In the non-CVT mode, drivers operated vehicles normally without assistance from CVT. In the CVT assisted mode, drivers operated vehicles using CVT advisory information (i.e., congestion information) and safety warnings (i.e., collision warnings). In the CVT automated mode, drivers engaged autonomous systems with cooperative adaptive cruise controls.

Supported by the dedicated short range communication (DSRC) standard connected vehicle technologies enable vehicles to communicate with each other and the roadside infrastructure and automatically implement in-vehicle countermeasures to reduce crash potential and incidents that can limit roadway capacity.

FINDINGS

Results from the simulation (subject to several assumptions and simplifications) indicated that connected vehicle technologies can increase capacity by 20 to 50 percent. Benefits varied depending on market penetration rates.
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