Datasets

subject: ccat subject: Autonomous Vehicles type: dataset

Total is 4 Results
Highly Transportation Disadvantaged Areas Indianapolis

10.4231/12HS-8G97

Christos Gkartzonikas ORCID logo , Konstantina Gkritza ORCID logo , Lisa Lorena Losada-Rojas ORCID logo , 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

Multinomial Logit models raw data for Chicago and Indianapolis

10.4231/4SXF-5N11

Konstantina Gkritza ORCID logo , Lisa Lorena Losada-Rojas ORCID logo

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

Highly Transportation Disadvantaged Area Chicago

10.4231/HYGW-T670

Christos Gkartzonikas ORCID logo , Konstantina Gkritza ORCID logo , Lisa Lorena Losada-Rojas ORCID logo , 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

Planning and Dynamic Management of Autonomous Modular Mobility Services

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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