Design and Evaluation of an Arterial-Friendly Local Ramp Metering System-Phase I: System Enhancements for Real-time Operations [Brief]

Chang, Gang- Len; Cheng, Yao

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Design and Evaluation of an Arterial-Friendly Local Ramp Metering System-Phase I: System Enhancements for Real-time Operations [Brief]

2024-08-01
By Chang, Gang- Len ; Cheng, Yao

File Language:

English

Details

Creators:

Chang, Gang- Len ; Cheng, Yao
Corporate Creators:

Connected Communities for Smart Mobility Toward Accessible and Resilient Transportation for Equitably Reducing Congestion (C2SMARTER) Tier-1 University Transportation Center (UTC) ; University of Maryland
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:
Resource Type:

Brief
Geographical Coverage:

United States
Edition:

Fact Sheet
Corporate Publisher:

Connected Communities for Smart Mobility Toward Accessible and Resilient Transportation for Equitably Reducing Congestion (C2SMARTER) Tier-1 University Transportation Center (UTC)
Abstract:

This project investigates the development and evaluation of an Arterial-Friendly Ramp (AF-Ramp) metering system to optimize freeway and arterial traffic flow near freeway on-ramps. The AF-Ramp system integrates real-time data to coordinate ramp metering and intersection signal plans within the ramp impact area. Its primary goal is to mitigate common traffic issues such as on-ramp queue spillbacks and freeway congestion by optimizing ramp metering rates and local traffic signals in unison. This report, focusing on Phase I of the project, documents the system's enhancements for real-time operation and presents preliminary findings from simulations comparing the AF-Ramp system with conventional ramp metering models like ALINEA/Q. Results demonstrate the AF-Ramp system's superior performance in maintaining throughput and minimizing congestion in various traffic scenarios. Key contributions include introducing a lane-group-based macroscopic traffic prediction model and a comprehensive control mechanism integrating freeway ramp and arterial signal coordination.
Format:

PDF
Funding:

69A3552348303
Download URL:

https://rosap.ntl.bts.gov/view/dot/86572/dot_86572_DS1.pdf
File Type:

[PDF - 2.55 MB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:09d07543f4074419720c659e183b7bfa7b1658ddedaa18918f8eab23032ed1aceab02a32fc3584047e27fad9bb611a947edb075e4b7ae751f4b18d1215a32bec

File Language:

English

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