This work examines the visual scanning behavior of drivers in preparing and executing a lane change. In an experiment, drivers navigated a naturalistic highway environment with moderate traffic in a fixed-base driving simulator. The data collected in the experiment included steering control data, eye movements, and verbal protocols. Drivers began to exhibit significantly different scanning beha...

Autonomous driver assistance system is a core component for the robust detection and tracking of lane markings on roads and pedestrian detection. The lane detection method is a major component of intelligent transport system. Lane detection helps to estimate the road geometry ahead as well as lateral position of vehicle. A fast lane detection algorithm is proposed by Hough transform which is fa...

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Lack of infrastructure capacity to the demand in mobility results delays traffic. U-turns restrict movement opposing through-traffic during maneuver, hence triggering delays. Significant can be observed, especially high volume traffic, where U-turning is not restricted. Hence, it imperative study incurred by vehicles assess their impacts on traffic congestion. This thus proposes a quantitative ...

Connected and automated vehicles (CAVs) platoons have been widely researched because of their efficiency advantages. However, most studies mainly focus on the stability control platoon there is a lack in-depth consideration lane changing. In order to make up for this vacancy, study focused dynamic gap in changing process. First, an intra-platoon potential field was established by combining repu...

Measurements taken downstream of freeway/on-ramp merges have verified that discharge flow diminishes when a merge becomes an active bottleneck. We show that metering the on-ramp can recover the higher discharge flow and thereby increase merge capacity. Detailed observations collected using video revealed that the outflow drop following activation was triggered by a queue that formed near the me...