Transportation

The dataset is generated using VISSIM, a microscopic traffic simulation software. The simulated environment accurately reproduces mixed traffic conditions involving both autonomous and conventional vehicles in the autonomous driving demonstration zone of Pangyo, South Korea. In setting up the simulation, various real-world factors are carefully incorporated, including the number and width of lanes, roadway gradients, and the configuration of traffic signal phase systems.

In this article, we assess the string stability of seven 2018 model year adaptive cruise control (ACC) equipped vehicles that are widely available in the US market. Seven distinct vehicle models from two different vehicle makes are analyzed using data collected from more than 1,200 miles of driving in car-following experiments with ACC engaged by the follower vehicle. The resulting dataset is used to identify the parameters of a linear second order delay differential equation model that approximates the behavior of the black box ACC systems.

This dataset investigates the effectiveness of various path planning algorithms in urban contexts using real-world traffic networks obtained from OpenStreetMap (OSM) at three different locations: Chongqing, China, Hubei Province, China, and Washington, D.C., USA. OSM data contains complex details of the road network, including road types, traffic restrictions, and geographic features. By employing zoning and hierarchical shrinkage strategies, we analyzed the route efficiency and travel time optimization of these different urban landscapes.

Self-Reconfigurable Modular robotic Systems (SRMSs) can physically connect and form a variety of morphologies without the need for external intervention. The morphology transformation problem of an underwater SRMS is critical to various functionalities. Morphology decomposition and reconnections are reduced by clustering some modules together. The file includes the x and y coordinates of modules in a self-reconfigurable robotic system.