United States Department of Transportation
i
Artificial Intelligence Design for Trucks Passing Signalized Intersections Along a Corridor with Significant Freight Traffic
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2021-05-01
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[PDF-792.21 KB]
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Edition:Final Report
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Abstract:Freight traffic, particularly when it’s significant in proportion, affects the performance of the road network in a more sensitive and significant way compared to other types of traffic, in the aspects of mobility, environment, and safety due to the complexity of characteristics of the resulting mixed-class traffic. Trucks need extra distance and time for deceleration and acceleration, and their interactions with conventional vehicles can present more uncertainty to the traffic due to their lengths and speeds. Therefore, a traffic bottleneck appears more easily on a road segment or intersection where freight traffic is significant. Therefore, the research insight into the control and operation of significant freight traffic is necessary. It has been shown in the research of FMRI’s first-year project that the coordination of signals fails when the demand is composed of a large portion of trucks. Strategies have been developed in the FMRI second-year project to formulate multiple trucks’ trajectories to pass consecutive signals individually and cooperatively considering mixed traffic conditions. The stability problem of vehicle streams has been studied in the third-year project.
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