Advanced Traffic Signal Control Algorithms Phase II

Zhang, Wei-bin; Barth, Matthew; University of California PATH Program; University of California, Riverside. Center for Environmental Research and Technology; University of California, Berkeley. Institute of Transportation Studies

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Advanced Traffic Signal Control Algorithms Phase II

2015-12-15
By Zhang, Wei-bin ; Barth, Matthew

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English

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Details:

Creators:

Zhang, Wei-bin ; Barth, Matthew

Zhang, Wei-bin ; Barth, Matthew Less -
Corporate Creators:

University of California PATH Program ; University of California, Riverside. Center for Environmental Research and Technology ; University of California, Berkeley. Institute of Transportation Studies

University of California PATH Program ; University of California, Riverside. Center for Environmental Research and Technology ; University of California, Berkeley. Institute of Transportation Studies Less -
Corporate Contributors:

California. Dept. of Transportation. Division of Research, Innovation, and System Information ; United States. Federal Highway Administration

California. Dept. of Transportation. Division of Research, Innovation, and System Information ; United States. Federal Highway Administration Less -
Subject/TRT Terms:

[+]

Actuated Traffic Signal Controllers Adaptive Control Dedicated Short Range Communications Ecodriving Field Tests Fuel Consumption Greenhouse Gases Mathematical Models Vehicle To Infrastructure Communications Vehicle To Vehicle Communications
Publication/ Report Number:

CA16-2529
Resource Type:

Tech Report
Geographical Coverage:

United States
TRIS Online Accession Number:

01649672
Edition:

Final Report
Corporate Publisher:

California. Dept. of Transportation
Abstract:

The goal of the project was to design and implement an in-vehicle system that calculates and provide speed advice to the driver of the vehicle, using Signal Phase and Timing (SPaT) and Geometric Information Description (GID) information of the signalized intersection, allowing the driver to adapt the vehicle's speed to pass through the upcoming actuated traffic signal(s) on green or to decelerate to a stop at a red signal in the most environmentally efficient manner. The testing of the system revealed that the fuel saving performance varies from 0 to 22 percent for different driving scenarios. The three scenarios of "speed up to pass (during green)", "have to stop (from green to red)" and "maintain speed to pass (from red to green)" can potentially make improvement by following in-vehicle speed advisory recommendations. Having considered the occurrence chance of every scenario, the statistical results show that the real achieved benefit for the tests ranges between 3% to 4%. This work was performed as part of the California PATH program of the University of California Berkeley and UC Riverside, in cooperation with the State of California Business, Transportation and Housing Agency, Department of Transportation, and the United States Department of Transportation, Federal Highway Administration.
Format:

PDF
Funding:

24-13-13159
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:2162246647ae84e7ab52029e8617370d8b7b35555e44004976560cddb51a84f8
Download URL:

https://rosap.ntl.bts.gov/view/dot/34209/dot_34209_DS1.pdf
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Advanced Traffic Signal Control Algorithms Phase II

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