subject: ccat subject: Autonomous Vehicles type: dataset
10.4231/12HS-8G97
Christos Gkartzonikas , Konstantina Gkritza , Lisa Lorena Losada-Rojas , Raul F. Elizondo Candanedo
08/10/2022
This file contains areas designated as highly transportation disadvantaged in Indianapolis. These two areas were outlined using three different measures and publicly available data. The methodology is replicable and can be used in other cities.
Autonomous Vehicles ccat Civil Engineering disadvantaged population GIS
10.4231/4SXF-5N11
Konstantina Gkritza , Lisa Lorena Losada-Rojas
08/15/2022
These two files contain information regarding a travel survey when respondents share travel habits and opinions regarding travel easiness. It is also the first NHTS effort to include health-related data with travel data.
Autonomous Vehicles ccat Civil Engineering NHTS substitution patterns
10.4231/HYGW-T670
Christos Gkartzonikas , Konstantina Gkritza , Lisa Lorena Losada-Rojas , Raul F. Elizondo Candanedo
08/10/2022
This file contains areas designated as highly transportation disadvantaged in Chicago. This areas were outlined using three different measures and publicly available data. The methodology is replicable and can be used in different areas.
Autonomous Vehicles ccat Civil Engineering disadvantaged population GIS
10.4231/TDT6-YV13
Shiyu Shen , Yanfeng Ouyang , Yuhui Zhai
12/02/2024
This project aimed to address the challenges faced by on-demand mobility operators in understanding and addressing spatiotemporal random bipartite matching problems (ST-RBMPs).
agent-based simulation Autonomous Vehicles ccat Civil Engineering mobility on-demand mobility services spatiotemporal random bipartite matching problems
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