Record Details

V2I Infrastructure Placement and Safety Implications of CAVs in an interconnected Network

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title V2I Infrastructure Placement and Safety Implications of CAVs in an interconnected Network
 
Identifier https://doi.org/10.7910/DVN/15E5A7
 
Creator Guo, Zhaomiao
Afifah, Fatima
 
Publisher Harvard Dataverse
 
Description With communication and computational capabilities of connected and automated vehicles
(CAVs) evolving rapidly overtime, CAVs can receive and process large amount of data in
real-time to dynamically adjust their travel states (e.g., speed, lanes, and/or travel paths).
Because of these advanced features, CAVs have great potential to improve the mobility and
safety of transportation systems. Existing research has been conducted to leverage information sharing through vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) technologies to mitigate intersections and road segments safety risks. However, since transportation is an interconnected network, local traffic adjustments (such as flow or speed changes) could lead to broader impacts by traffic diversion. Therefore, research is urgently needed to investigate the safety implications from a system perspective with these advanced technologies. In this project, we focus on the impacts of information-sharing locations of V2I devices on the system-level safety implications considering adaptive decision-making of CAVs with information updates through V2I communication nodes. We propose a novel transportation network equilibrium model to consider the adaptive decision making of CAVs responding to mobility information updates along their travel paths. Microscopic simulation is conducted to estimate key parameters for network equilibrium model, including surrogate safety measurements (e.g., time-to-collision (TTC)), collision risk functions, and link performance functions. Different V2I information sharing strategies are evaluated and compared to understand the impact of information sharing locations on transportation network safety with CAVs using both a four-node test network and Orlando transportation network. We found that: (1) more information shared is not always better for network safety; (2) information sharing at different locations could dramatically impact the network safety risk; (3) information sharing will influence the rerouting decisions and the collision risk for those links that vehicles reroute to after receiving information updates will determine the network safety. The specific impacts of information sharing locations will depend on specific settings of the network but the proposed methodology provides a general way to quantify the impacts for different network
settings
 
Subject Engineering
 
Contributor Heiden, Jacob