Safe Driving Using Mobile Phones

By M. Fazeen, Brandon Gozick, R. Dantu, Moiz Bhukhiya, Marta C. González. 2012

353 citations recorded by the source corpus.

Subfields: Building and Construction, Mechanical Engineering, Transportation

How researchers see this paper

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

In Building and Construction

1. Ekim Yurtsever
2. Jacob Lambert
3. Alexander Carballo
4. Kazuya Takeda

In Transportation

1. Ekim Yurtsever
2. Kazuya Takeda
3. Alexander Carballo
4. Jacob Lambert

Citations in the corpus

• A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, background): “In [229]–[231] driving style was categorized into three and into two in [74], [209], [217], [218], [222].”
• Driver Behavior Profiling Using Smartphones: A Low-Cost Platform for Driver Monitoring (2015, methodology): “Then, using the Internet connection of the smartphone, fleet administrators may access real-time vehicle and driver information in order to optimize logistics and reduce overall fuel consumption.”
• Driving style classification using long-term accelerometer information (2014, methodology): “[9] use the 3-axis accelerometer and GPS of an Android-based smartphone to record and analyze various driver behaviors and external road conditions.”
• Driving Style Recognition for Intelligent Vehicle Control and Advanced Driver Assistance: A Survey (2018, background): “The key driving events identified are usually extracted from the data [42] and include: braking, car-following, distance keeping [23] [32], roundabouts [27], handling, including lane change and cornering [16] [31] [49] and the reaction delay to events [50].”