Evaluation of a Cellular Phone-Based System for Measurements of Traffic Speeds and Travel Times: A Case Study from Israel

By Hillel Bar-Gera. 2007

376 citations recorded by the source corpus.

Subfields: Building and Construction, Transportation

View Paper: https://www.semanticscholar.org/paper/69c7ccb0ababd1d70f97a54528c26093cfbb51aa

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. Alexandre M. Bayen
2. Quinn Jacobson
3. Juan Carlos Herrera
4. Xuegang (Jeff) Ban
5. Ryan Herring
6. Nita Yodo
7. D. Work
8. G. Leduc

In Transportation

1. Marta C. González
2. Lauren P. Alexander
3. Alexandre M. Bayen
4. Jameson L. Toole
5. Serdar Çolak
6. Bradley Sturt
7. A. Evsukoff
8. Quinn Jacobson

Citations in the corpus

• Route choice modeling: past, present and future research directions (2009, methodology): “…route choice studies use GPS data (e.g., Murakami and Wagner, 1999; Jan et al., 2000; Nielsen, 2004; Wolf et al., 2004; Li et al., 2005), while at the moment cellular phone technologies are only used for traffic detection and speed profile analysis (e.g., Asakura and Hato, 2004; Bar-Gera, 2007).”
• The path most traveled: Travel demand estimation using big data resources (2015, background): “, 2014), traffic speed estimation (Bar-Gera, 2007; Zhan et al., 2013), and activity modeling (Phithakkitnukoon et al.”
• Road Traffic Data: Collection Methods and Applications (2008, result): “In the last years, a wide number of studies [YIM01] [ZHAN07], [BARG07], [ASTA06] has addressed the accuracy and sample size/sample time issues associated with FCD (e.”
• Development of origin–destination matrices using mobile phone call data (2014, background): “routes are functions of path attributes, such as path travel times (51,52) and freeway bias (see 50”
• A Survey of Road Traffic Congestion Measures towards a Sustainable and Resilient Transportation System (2020, methodology): “For example, the Texas Transportation Institute used the Roadway Congestion Index in the 1994 urban mobility report [32], and the Washington State Transportation Department used the average peak travel time in the 2006 congestion report [33].”
• Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment (2009, methodology): “Several studies have investigated the use of mobile phones for traffic monitoring using this approach (Westerman et al., 1996; Ygnace et al., 2000; Lovell, 2001; Fontaine and Smith, 2007; Bar-Gera, 2007).”