Modelling network travel time reliability under stochastic demand
By Stephen Clark, David P. Watling. 2005
400 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Ocean Engineering, Transportation
View Paper: https://www.semanticscholar.org/paper/dbe788b229eb7001ed82d2d41b806e0548bf8daa
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
- Wai Yuen Szeto
- S. Waller
- Manwo Ng
- Michael A. P. Taylor
- Fiona Crawford
- David P. Watling
- Richard D. Connors
- W. Jin
In Ocean Engineering
In Transportation
- Michael A. P. Taylor
- Lars-Göran Mattsson
- Wai Yuen Szeto
- Manwo Ng
- S. Waller
- Erik Jenelius
- Fiona Crawford
- David P. Watling
Citations in the corpus
- A statistical method for estimating predictable differences between daily traffic flow profiles (2017, background): “…in research on demand (Watling, 2002, Clark and Watling, 2005, Sumalee et al., 2006, Shao et al., 2006, Nakayama and Watling, 2014), capacity (Lo and Tung, 2003, Siu and Lo, 2008, Sumalee et al., 2011b) or travel times (Noland and Small, 1995, Clark and Watling, 2005, Pu, 2011, Guo et al., 2012).”
- Travel through time: the story of research on travel time reliability (2013, background): “…variability, in which the usage of the transport system is itself a stochastic variable and so needs to be treated as a source of observed travel time variability (Al-Deek and Emam 2006a; Clark and Watling 2005; Heydecker, Lam, and Zhang 2007; Shao et al. 2006; Sumalee, Watling, and Nakayama 2006).”
- Distribution-free travel time reliability assessment with probability inequalities (2011, methodology): “As such, their work can be seen as a complement of Clark and Watling (2005) that derived the probability distribution function of the system travel time under demand uncertainty.”
- Road network vulnerability analysis of area-covering disruptions: A grid-based approach with case study (2012, background): “For example, the cost of travel time uncertainty (e.g., Bates et al., 2001) and the reliability of the transport system under fluctuations in capacity or demand (e.g., Clark and Watling, 2005) have been studied.”