Cooperative Intersection Management: A Survey

By Lei Chen, Cristofer Englund. IEEE transactions on intelligent transportation systems (Print), 2016

451 citations recorded by the source corpus.

Subfields: Automotive Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/634aa5d051512ee4b831e6210a234fb2d9b9d623

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. Sherali Zeadally
2. Cristofer Englund
3. Lei Chen
4. Jeroen Ploeg

In Control and Systems Engineering

1. Sherali Zeadally
2. Cristofer Englund
3. Lei Chen
4. Jeroen Ploeg
5. Elham Semsar-Kazerooni

Citations in the corpus

• The Grand Cooperative Driving Challenge 2016: boosting the introduction of cooperative automated vehicles (2016, background): “Intersections are one of the most critical and challenging traffic environments that are attracting significant work [9].”
• Urban traffic signal control with connected and automated vehicles: A survey (2019, unknown): “Readers who are interested in cooperative driving around non-signalized intersections may refer to some other surveys and papers (Chen and Englund, 2016; Lee et al., 2012, Li et al., 2014c; Meng et al., 2018; Qian et al., 2017; VanMiddlesworth et al., 2008; Xu et al., 2018) for detailed discussions.”
• Sensor Technologies for Intelligent Transportation Systems (2018, background): “In this application, road users, infrastructure and traffic control centers work in an integrated way, combining RFID technology, proximity, ultrasonic, radar sensors, cameras, trajectory planning [68], and virtual traffic lights’ modeling, to coordinate traffic safety more efficiently [69].”