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You searched for subject:(Traffic information provision). Showing records 1 – 2 of 2 total matches.

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Penn State University

1. Yu, Zhengyao. Multi-resolution Analysis of Disruptions in Different Urban Network Configurations under Varying Information Scenarios.

Degree: 2019, Penn State University

Urban networks are suffering more congestion than ever. Aside from recurrent congestion resulting from bottlenecks and signal timing, it is estimated that about 40 percent of the congestion is caused by non-recurring disruptions such as crashes, work zones, and special events. Although many recent works have studied the capacity and efficiency of different network configurations, their performance under such non-recurring disruptions is currently missing in the literature. This dissertation compares three street network configurations under both prior-knowledge and no-prior-knowledge disruptions, where drivers do and do not know about the disruptions ahead of time. Two-way (TW), two-way with prohibited left-turn movements (TWL), and one-way (OW) networks are studied and compared with three approaches at different levels of fidelity. First, a simplified analytical method is applied to networks under light traffic conditions, where drivers are assumed to take the shortest physical route with the fewest turning maneuvers. This step provides initial insights into the problem through paper-and-pen analysis. Second, the Link Transmission Model (LTM) is applied to the networks for light-to-medium traffic demands. Traffic signals will be added at this step and drivers will be routed based on experienced travel time on the links. As a numerical solution to the kinematic wave theory, the LTM can capture network dynamics including intersection spillbacks, which makes it an ideal intermediate model between simplified analytical approach and more comprehensive microscopic simulation. Finally, the networks are tested in a microscopic traffic simulation environment for more detailed and realistic outputs. In addition, mitigation strategies that provide early disruption notification to a subset of vehicles either locally or globally in the networks are also tested in the simulation environment. Based on the results of the experiments, it is recommended that the TW network should be used when traffic demands are expected to be moderate. Because of its flexibility, the TW network can accommodate link disruptions that might occur as long as the network capacity is still higher than the traffic demand. However, the TW network has limited capacity so performs poorly under high traffic demands. For networks operating under high demands, the TWL network is recommended due to its large capacity that allows it to absorb the negative impacts of link disruptions. For all network configurations, it is important to provide road users with early notification to offset the negative impacts when disruptions occur within the most critical (central) part of the network. In the TW network, this is best done using VMSs placed near the disruption while in the TWL network it is more efficient to use a broadcasting strategy (e.g., using in-vehicle navigation systems). For disruptions near the network periphery, no prior information should be provided to road users so that the detour traffic is more likely to use links outside the central area with… Advisors/Committee Members: Vikash V. Gayah, Dissertation Advisor/Co-Advisor, Vikash V. Gayah, Committee Chair/Co-Chair, Eric T. Donnell, Committee Member, S. Ilgin Guler, Committee Member, Tao Yao, Outside Member.

Subjects/Keywords: traffic network resilience; left turn treatments; one-way streets; disruption information provision; urban traffic network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yu, Z. (2019). Multi-resolution Analysis of Disruptions in Different Urban Network Configurations under Varying Information Scenarios. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16208zuy107

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yu, Zhengyao. “Multi-resolution Analysis of Disruptions in Different Urban Network Configurations under Varying Information Scenarios.” 2019. Thesis, Penn State University. Accessed May 06, 2021. https://submit-etda.libraries.psu.edu/catalog/16208zuy107.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yu, Zhengyao. “Multi-resolution Analysis of Disruptions in Different Urban Network Configurations under Varying Information Scenarios.” 2019. Web. 06 May 2021.

Vancouver:

Yu Z. Multi-resolution Analysis of Disruptions in Different Urban Network Configurations under Varying Information Scenarios. [Internet] [Thesis]. Penn State University; 2019. [cited 2021 May 06]. Available from: https://submit-etda.libraries.psu.edu/catalog/16208zuy107.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yu Z. Multi-resolution Analysis of Disruptions in Different Urban Network Configurations under Varying Information Scenarios. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16208zuy107

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Queensland University of Technology

2. Tsubota, Takahiro. Exploring the properties of macroscopic fundamental diagram : analysing Brisbane urban network.

Degree: 2014, Queensland University of Technology

This thesis explored traffic characteristics at the aggregate level for area-wide traffic monitoring of large urban area. It focused on three aspects: understanding a macroscopic network performance under real-time traffic information provision, measuring traffic performance of a signalised arterial network using available data sets, and discussing network zoning for monitoring purposes in the case of Brisbane, Australia. This work presented the use of probe vehicle data for estimating traffic state variables, and illustrated dynamic features of regional traffic performance of Brisbane. The results confirmed the viability and effectiveness of area-wide traffic monitoring.

Subjects/Keywords: Macroscopic Fundamental Diagram; Density estimation; Traffic monitoring; Probe data; Data fusion; CUPRITE; Signalised network; Traffic information provision; Bluetooth; Network partitioning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tsubota, T. (2014). Exploring the properties of macroscopic fundamental diagram : analysing Brisbane urban network. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/75539/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tsubota, Takahiro. “Exploring the properties of macroscopic fundamental diagram : analysing Brisbane urban network.” 2014. Thesis, Queensland University of Technology. Accessed May 06, 2021. https://eprints.qut.edu.au/75539/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tsubota, Takahiro. “Exploring the properties of macroscopic fundamental diagram : analysing Brisbane urban network.” 2014. Web. 06 May 2021.

Vancouver:

Tsubota T. Exploring the properties of macroscopic fundamental diagram : analysing Brisbane urban network. [Internet] [Thesis]. Queensland University of Technology; 2014. [cited 2021 May 06]. Available from: https://eprints.qut.edu.au/75539/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tsubota T. Exploring the properties of macroscopic fundamental diagram : analysing Brisbane urban network. [Thesis]. Queensland University of Technology; 2014. Available from: https://eprints.qut.edu.au/75539/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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