Estimated Bounds and Important Factors for Fuel Use and Consumer Costs of Connected and Automated Vehicles

By T. Stephens, J. Gonder, Yuche Chen, Zhenhong Lin, Chongxing Liu, D. Gohlke. 2016

115 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/74dda044608b79a6ae9e816fb6d4746520cbdd31

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. S. Stolper
2. Ming Xu
3. Morteza Taiebat

In Electrical and Electronic Engineering

1. S. Stolper
2. Daniel C. Steinberg
3. Ming Xu
4. Matteo Muratori
5. Morteza Taiebat

Citations in the corpus

• Forecasting the Impact of Connected and Automated Vehicles on Energy Use: A Microeconomic Study of Induced Travel and Energy Rebound (2019, methodology): “(2016) [4] Assumption based on multiplicative factors for travel”
• Electrification Futures Study: Scenarios of Electric Technology Adoption and Power Consumption for the United States (2018, background): “For example, widespread automation of vehicles could dramatically impact VMT or vehicle ownership (Stephens et al. 2016).”