Dynamic ride-sharing and fleet sizing for a system of shared autonomous vehicles in Austin, Texas

By Daniel J. Fagnant. 2018

518 citations recorded by the source corpus.

Subfields: Automotive Engineering, Building and Construction, Transportation

View Paper: https://www.semanticscholar.org/paper/a0cb1a0ff26cd1a6dc7e6adb0d59f7b21db9e493

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Nicolas Hue
2. Fernando Tobal Berssaneti
3. José Alberto Quintanilha
4. Martin Berger
5. Francesco Ciari
6. Cláudia A. Soares Machado
7. A. Soteropoulos

In Building and Construction

1. Martin Berger
2. Francesco Ciari
3. A. Soteropoulos

In Transportation

1. Martin Berger
2. Francesco Ciari
3. A. Soteropoulos

Citations in the corpus

• An Overview of Shared Mobility (2018, background): “[81], and Fagnant and Kockelman [82], ridesharing pools multiple travelers with similar or overlapping paths (origins/destinations) and departure times in the same vehicle (generally a car or a van).”
• Impacts of automated vehicles on travel behaviour and land use: an international review of modelling studies (2018, background): “…PO U LO S ET A L. Replacement of private vehicles with private AVs in households, −50% VOT for private AVs −49% VMT; +9 percentage points in car share Fagnant and Kockelman (2016) Austin, USA Agent-based-Model Hourly varying link-level travel speeds Avg. waiting time carsharing: 1,9 min Avg.…”