Sensor-enabled Calibration of VR-Integrated Co-Simulation Platforms for Enhanced Accuracy in Multi-modal Mobility Models [supplemental dataset]

Ergan, Semiha; Ozbay, Kaan; Zhang, Shuo; Zuo, Fan

i

Sensor-enabled Calibration of VR-Integrated Co-Simulation Platforms for Enhanced Accuracy in Multi-modal Mobility Models [supplemental dataset]

Dataset

2024-10-01
By Ergan, Semiha ; Ozbay, Kaan ; Zhang, Shuo ; ...

File Language:

English

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Details

Creators:

Ergan, Semiha ; Ozbay, Kaan ; Zhang, Shuo ; Zuo, Fan
Corporate Creators:

Connected Communities for Smart Mobility Toward Accessible and Resilient Transportation for Equitably Reducing Congestion (C2SMARTER) Tier-1 University Transportation Center (UTC) ; New York University. Tandon School of Engineering
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:

Calibration Data Files Driving Simulators Eye Movements Microsimulation Virtual Reality Work Zone Safety
Resource Type:

Dataset
Geographical Coverage:

United States
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 is the supporting dataset for C2SMART center 2023-2024 project: Sensor-enabled Calibration of VR-Integrated Co-Simulation Platforms for Enhanced Accuracy in Multi-modal Mobility Models including: SUMO Net and code of Brooklyn-Queens Expy (New York, NY) and Willoughby (City in Ohio), and Vocabulary comprising calibration metrics.

The total size of the ZIP file is 110KB.
Content Notes:

This dataset additional data and software in a GitHub repository. This repository is accessible online: https://github.com/shuo9898-zs/2023-2024-C2SMART-center-project-data
Format:

ZIP
Funding:

69A3552348326
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:bedbba8352d1a49fc5ad39fbd68bc15b2b6173b1a60536daaf6d2b2bcc1bd1fb072bf0747dc51f5ded14a958b82999d63d855aa88a13b3f8ff68a75cb9cc8ef7
Download URL:

https://rosap.ntl.bts.gov/view/dot/86564/dot_86564_DS1.zip
File Type:

[ZIP - 109.02 KB ]

Sensor-enabled Calibration of VR-Integrated Co-Simulation Platforms for Enhanced Accuracy in Multi-modal Mobility Models

This paper introduces VR-WISE (Virtual Reality-based Work Zone Integrated Simulation Environment), a high-fidelity co-simulation platform that integra ...

Ergan, Semiha

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Ozbay, Kaan
Reinforcement Learning-Based Optimal Control of Wearable Alarms for Consistent Roadway Workers’ Reactions to Traffic Hazards

Recent innovations in roadway construction include work zone intrusion alert (WZIA) systems that detect traffic hazards (e.g., speeding or intruding v ...

Lu, Daniel

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Ergan, Semiha

File Language:

English

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