A Connected Vehicle-Based Adaptive Navigation Algorithm [supporting dataset]

Wang, Yinhai; Pacific Northwest Transportation Consortium

doi:10.7910/DVN/XAOW8A

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A Connected Vehicle-Based Adaptive Navigation Algorithm [supporting dataset]

2020-01-16
See Associated Publication(s)
By Wang, Yinhai

[PDF-165.56 KB]

English

Details Supporting Files Publications You May Also Like

Details:

Alternative Title:

Intersection Vehicle Count by Movement in Bellevue, WA [Dataset title]
Creators:

Wang, Yinhai
Corporate Creators:

Pacific Northwest Transportation Consortium
Corporate Contributors:

United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program

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

[+]

Algorithms Bellevue Connected Vehicles Information Processing Navigation Optimization Shortest Path Algorithms Traffic Delays Traffic Intersection Traffic Simulation Travel Costs Travel Time Turning Movement Count Data
Publication/ Report Number:

2018-S-UW-1
DOI:

https://doi.org/10.7910/DVN/XAOW8A
Resource Type:

Dataset
Geographical Coverage:

United States
Corporate Publisher:

Pacific Northwest Transportation Consortium
Abstract:

The dataset contains the vehicle count by movement information for 35 intersections in Bellevue, WA. It can be used for network-wide traffic simulation. The data were collected in 2017, during an off-peak (1 pm) period in a normal weekday. The Turn_ratio.xlsx file contains intersection identification numbers and vehicle count for each movement. The Intersection_address.xlsx file contains the north-south and east-west road names for each intersection. The two files are linked with intersection identification number.
Format:

ZIP
Funding:

69A3551747110
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:e9c6fa796695de0aae631abf90133a90d9efe3e322f8c20b41f3624cf7df8e40
Download URL:

https://rosap.ntl.bts.gov/view/dot/56584/dot_56584_DS1.pdf
File Type:

A_Connected_Vehicle-Based_Adaptive_Navigation_Algorithm.json

json

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