Adaptive Traffic Lights Using Car-to-Car Communication

By Victor Gradinescu, Cristian Gorgorin, Raluca Diaconescu, V. Cristea, L. Iftode. IEEE Vehicular Technology Conference, 2007

301 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/70baf4dc097a178ed9c0e7ab579aaefb4fa24776

How researchers see this paper

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

In Control and Systems Engineering

1. Li Li
2. Cristofer Englund
3. Lei Chen
4. Xuegang (Jeff) Ban
5. Qiangqiang Guo

In Electrical and Electronic Engineering

1. Antonio Corradi
2. Paolo Bellavista
3. Luca Foschini

In Transportation

1. Li Li
2. Xuegang (Jeff) Ban
3. Qiangqiang Guo

Citations in the corpus

• A survey of context data distribution for mobile ubiquitous systems (2012, methodology): “…et al. 2005]; Adaptive Traf.c Lights and Active Highways use physical context to realize driver-assistance services through data exchanges between vehicles [Gorgorin et al. 2007; Iftode et al. 2008]; and MobEyes proposes environmental data harvesting protocols for VANET [Lee et al. 2009].”
• Cooperative Intersection Management: A Survey (2016, background): “Information exchange was done with a timely fashion and was assumed to be error-free.”
• Urban traffic signal control with connected and automated vehicles: A survey (2019, methodology): “CAVs provides a remedy for such problems (Day and Bullock, 2016; Goodall et al., 2013; Gradinescu et al., 2007; Kari et al., 2014; Li et al., 2014c; Wu et al., 2015; Younes and Boukerche, 2016).”