Vehicle routing under time-dependent travel times: The impact of congestion avoidance

By Adrianus Leendert Kok, Erwin W. Hans, J. Schutten. Computers & Operations Research, 2012

347 citations recorded by the source corpus.

Subfields: Automotive Engineering, Industrial and Manufacturing Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/bc61c6d2fc16b19d50bdfc980cd2025712c87ce2

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. Kris Braekers
2. Xuesong Zhou
3. Inneke Van Nieuwenhuyse
4. Katrien Ramaekers
5. Monirehalsadat Mahmoudi

In Industrial and Manufacturing Engineering

1. Kris Braekers
2. Xuesong Zhou
3. Inneke Van Nieuwenhuyse
4. Katrien Ramaekers
5. Monirehalsadat Mahmoudi
6. Thomas Schlechte

In Transportation

1. Kris Braekers
2. Xuesong Zhou
3. Katrien Ramaekers

Citations in the corpus

• Finding Optimal Solutions for Vehicle Routing Problem with Pickup and Delivery Services with Time Windows: A Dynamic Programming Approach Based on State-space-time Network Representations (2015, background): “A few previous research directly considers the underlying transportation network with time of day traffic congestion (Kok et al. 2012, Gromicho et al. 2012) and has defined the PDPTW on a directed graph containing customers’ origin and destination locations connected by some links which are…”
• The vehicle routing problem: State of the art classification and review (2016, background): “The higher the number of time intervals, the more realistic the model will be, because the travel speeds will change more gradually (Kok, Hans, & Schutten, 2012).”