Developing Novel Performance Measures for Traffic Congestion Management and Operational Planning Based on Connected Vehicle Data-Reference-Cited by-同舟云学术

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Developing Novel Performance Measures for Traffic Congestion Management and Operational Planning Based on Connected Vehicle Data

Published:2022-06 Issue:2 Volume:148 Page:
ISSN:0733-9488
Container-title:Journal of Urban Planning and Development
language:en
Short-container-title:J. Urban Plann. Dev.

Author:

Khadka Swastik¹^ORCID,Li Pengfei “Taylor”²^ORCID,Wang Qichao³^ORCID

Affiliation:

1. Graduate Research Assistant, Dept. of Civil Engineering, Univ. of Texas at Arlington, Arlington, TX 76019. ORCID: .

2. Assistant Professor, Dept. of Civil Engineering, Univ. of Texas at Arlington, Arlington, TX 76019 (corresponding author). ORCID: .

3. Postdoctoral Researcher, Computational Science Center National Renewable Energy Laboratory 15013 Denver West Parkway, Golden, CO 80401. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Urban Studies,Development,Geography, Planning and Development,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29UP.1943-5444.0000835

Reference40 articles.

1. Mode-Specific Travel Time Estimation Using Bluetooth Technology

2. Probabilistic Model Based on the Effective Range and Vehicle Speed to Determine Bluetooth MAC Address Matches from Roadside Traffic Monitoring

3. Automated Analysis of Cumulative Flow and Speed Curves

4. Travel Time Forecasting and Dynamic Origin-Destination Estimation for Freeways Based on Bluetooth Traffic Monitoring

5. Toward the systematic diagnosis of freeway bottleneck activation

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