Thesis
Cooperative adaptive cruise control: impact on self-organized traffic jams
Washington State University
Master of Science (MS), Washington State University
2017
Handle:
https://hdl.handle.net/2376/103463
Abstract
This thesis addresses the impact of Cooperative Adaptive Cruise Control (CACC) on the formation of self-organized traffic jams. Self-organized traffic jams are also known as phantom jams where it appears on a road when the density increases and exceeds a certain threshold (i.e., critical density). The master equation is applied for modeling a self-organized traffic jam at mesoscopic scale. Furthermore, to design the vehicular behavior under the traffic condition, the master equation is incorporated in General Motor(GM)-fourth car-following model. Since CACC-enabled vehicle can obtain additional traffic states via Dedicated Short Range Communication (DSRC), the existing car-following model is to be modified for deriving the behavior of CACC-enabled vehicles dependent on both traffic environment and vehicle states. By using the new CACC algorithm, this paper denotes the validation of CACC-enabled vehicles on mixed environment where human-driven vehicle exits. As increasing the proportion of CACC-enabled vehicles, this project denotes the adequate proportion to increase traffic mobility while maintaining low susceptibility and mitigating the rate of forming a cluster or jam.
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Details
- Title
- Cooperative adaptive cruise control
- Creators
- Tae Hooie Kim
- Contributors
- Kshitij Jerath (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Mechanical and Materials Engineering, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; [Pullman, Washington] :
- Identifiers
- 99900525043701842
- Language
- English
- Resource Type
- Thesis