Details:

Creators:
Ban, Xuegang (Jeff) ; Li, Wan
Ban, Xuegang (Jeff) ; Li, Wan Less -
Corporate Creators:
University of Washington
Corporate Contributors:
C2SMART
Subject/TRT Terms:
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Connected Vehicles Intelligent Vehicles Mobile Communication Systems Offsets (Traffic Signal Timing) Traffic Signal Optimization Traffic Signal Timing Vehicle To Roadside Communications Vehicle To Vehicle Communications
Resource Type:
Tech Report
Geographical Coverage:
United States
Corporate Publisher:
C2SMART
Abstract:
ORCIDs: Jeff Ban, PI - 0000-0003-3605-971X Connected vehicles in smart cities, including vehicle to vehicle (V2V), vehicle to infrastructure (V2I), and vehicle to anything (V2X) communications, can provide more opportunities and impose more challenges for urban traffic signal control. This project aims to develop a framework, including modeling techniques, algorithms, and testing strategies, for urban traffic signal optimization with CVs. This framework is able to optimize traffic signal timing for a single intersection or along a corridor. More specifically, the major tasks of this project include: 1. Development of CV-based traffic signal timing optimization methods utilizing individual vehicles’ trajectories (i.e., second-by-second vehicle locations and speeds). This includes methods for timing plan optimization (of a single intersection) and coordination optimization among multiple intersections. The proposed method evaluates the total weighted sum of travel times and fuel consumptions of all vehicles in the study area in the optimal green time and offset determination. 2. Propose solution methods for CV-based traffic signal optimization, which includes a DP with two-step method for intersection level optimization (phase duration optimization) and a prediction-based solution method for the two-level problem (offset optimization) under corridor level optimization. 3. Comprehensive testing and validation of the proposed methods in traffic simulation. Various combinations of travel demands and types of CVs are tested for the proposed signal timing optimization methods. The testing tasks should validate that the developed methods are computationally manageable and have the potential to be implemented in CV-based traffic signal applications in the real world.
Format:
PDF
Collection(s):
US Transportation Collection
Main Document Checksum:
[+]
urn:sha256:00f968b7962fd2353f3e98f7cfac309d170e7ef050738f0229446ecdc2b5c2c7
Download URL:
https://rosap.ntl.bts.gov/view/dot/36602/dot_36602_DS1.pdf
File Type:

Supporting Files

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