Creator
- Konstantina Gkritza, 0000-0002-6598-4771 4
- Lisa Lorena Losada-Rojas, 0000-0002-7221-4900 4
- Christos Gkartzonikas, 0000-0001-6579-9106 3
- Irina Benedyk, 0000-0003-3971-0619 2
- Ramanujam Ramaswamy, 0000-0001-7448-6574 2
- Raul F. Elizondo Candanedo 2
- Richard Ajagu 2
- Runjia Du 2
- Sam Labi, 0000-0001-9830-2071 2
- Shubham Agrawal, 0000-0002-0990-9785 2
Type
- Dataset 14
Date
- 2022 14
subject: Civil Engineering date: 2022
Total is 14 Results
Heavy Fleet and Facilities Optimization: Electronic Tool for Generating Optimal Snow Routes (Python Version)
10.4231/VCTK-A223
Ramanujam Ramaswamy
,
Richard Ajagu
,
Runjia Du
,
Sam Labi
10/03/2022
The Snow Route Generation tool helps INDOT’s winter operations personnel to generate snow removal routes in an optimal manner and minimize the deadhead miles of the trucks deployed in snow removal. The manual explains how to use the SRG tool.
Civil Engineering JTRP optimal snow routes python program snow removal Winter Operations
Development of In-vehicle Information Dissemination Mechanisms to Reduce Cognitive Burden in the Information-rich Driving Environment
10.4231/QVDH-1124
Irina Benedyk
,
Shubham Agrawal
,
Srinivas Peeta
07/18/2022
Processed driving simulator data collected at NEXTRANS Center, Purdue University. Data features synchronized EEG band powers around an instance of auditory travel information and contains demographic, information scenario, and trip details.
ccat Civil Engineering driver cognition driving simulator EEG travel information
In-vehicle Alerts for Conditionally Automated Vehicles
10.4231/JGHH-F716
Dustin J Souders
,
Irina Benedyk
,
Shubham Agrawal
,
Srinivas Peeta
,
Yuntao Guo
08/10/2022
Driving simulator study data collected at Purdue University from 2018-2019. Participants came in to the lab and completed the 2.5 hour long study that investigated the effects of different introductory information on take-over performance.
ccat Civil Engineering Conditionally automated driving graded warnings introductory materials SAE L3 take-over vehicle automation
Origin-Destination (O-D) Matrix from Indianapolis
10.4231/543K-FR90
Christos Gkartzonikas
,
Konstantina Gkritza
,
Lisa Lorena Losada-Rojas
,
Zimo Zhang
08/16/2022
The Origin-Destination matrix for Indy contains the flows of the 42 Transportation Analysis Zones surrounding the Indianapolis area. It also presents the total amount of travel within each region.
ccat Civil Engineering environmental impacts Shared autonomous vehicles
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Results 11 - 14 of 14