35 research outputs found
Simulation Framework for Cooperative Adaptive Cruise Control with Empirical DSRC Module
Wireless communication plays a vital role in the promising performance of
connected and automated vehicle (CAV) technology. This paper proposes a
Vissim-based microscopic traffic simulation framework with an analytical
dedicated short-range communication (DSRC) module for packet reception. Being
derived from ns-2, a packet-level network simulator, the DSRC probability
module takes into account the imperfect wireless communication that occurs in
real-world deployment. Four managed lane deployment strategies are evaluated
using the proposed framework. While the average packet reception rate is above
93\% among all tested scenarios, the results reveal that the reliability of the
vehicle-to-vehicle (V2V) communication can be influenced by the deployment
strategies. Additionally, the proposed framework exhibits desirable scalability
for traffic simulation and it is able to evaluate transportation-network-level
deployment strategies in the near future for CAV technologies.Comment: 6 pages, 6 figure, 44th Annual Conference of the IEEE Industrial
Electronics Societ
Traffic Flow Characteristics and Lane Use Strategies for Connected and Automated Vehicle in Mixed Traffic Conditions
Managed lanes, such as a dedicated lane for connected and automated vehicles
(CAVs), can provide not only technological accommodation but also desired
market incentives for road users to adopt CAVs in the near future. In this
paper, we investigate traffic flow characteristics with two configurations of
the managed lane across different market penetration rates and quantify the
benefits from the perspectives of lane-level headway distribution, fuel
consumption, communication density, and overall network performance. The
results highlight the benefits of implementing managed lane strategies for
CAVs: 1) a dedicated CAV lane significantly extends the stable region of the
speed-flow diagram and yields a greater road capacity. As the result shows, the
highest flow rate is 3,400 vehicles per hour per lane at 90% market penetration
rate with one CAV lane; 2) the concentration of CAVs in one lane results in a
narrower headway distribution (with smaller standard deviation) even with
partial market penetration; 3) a dedicated CAV lane is also able to eliminate
duel-bell-shape distribution that is caused by the heterogeneous traffic flow;
and 4) a dedicated CAV lane creates a more consistent CAV density, which
facilitates communication activity and decreases the probability of packet
dropping