7 citations · 9 across the 4 of their papers we have counts for
5 papers · 1 filter
Inferring origin-destination distribution of agent transfer in a complex network using deep gated recurrent units
Vee-Liem Saw, Luca Vismara, Suryadi +3
Predicting the origin-destination (OD) probability distribution of agent transfer is an important problem for managing complex systems. However, prediction accuracy of associated s…
Can bus bunching reduce waiting time?
Luca Vismara, Vee-Liem Saw, Lock Yue Chew
Bus bunching is ostensibly regarded as a detrimental phenomenon in bus systems. We study a bus loop with two bus stops, one regular and one spike bus stop, where bunched buses can…
Optimal assignment of buses to bus stops in a loop by reinforcement learning
Luca Vismara, Lock Yue Chew, Vee-Liem Saw
Bus systems involve complex bus-bus and bus-passengers interactions. We study the problem of assigning buses to bus stops to minimise the average waiting time of passengers, W. An…
Chaotic semi-express buses in a loop
Vee-Liem Saw, Luca Vismara, Lock Yue Chew
Urban mobility involves many interacting components: buses, cars, commuters, pedestrians, trains etc., making it a very complex system to study. Even a bus system responsible for d…
Intelligent buses in a loop service: Emergence of no-boarding and holding strategies
Vee-Liem Saw, Luca Vismara, Lock Yue Chew
We study how intelligent buses serving a loop of bus stops learn a \emph{no-boarding strategy} and a \emph{holding strategy} by reinforcement learning. The high level no-bo…