33 citations · 41 across the 6 of their papers we have counts for
7 papers · 1 filter
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…
Analysis and simulation of intervention strategies against bus bunching by means of an empirical agent-based model
Wei Liang Quek, Ning Ning Chung, Vee-Liem Saw +1
In this paper, we propose an Empirically-based Monte Carlo Bus-network (EMB) model as a test bed to simulate intervention strategies to overcome the inefficiencies of bus bunching.…
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…
No-boarding buses: Synchronisation for efficiency
Vee-Liem Saw, Lock Yue Chew
We investigate a no-boarding policy in a system of buses serving bus stops in a loop, which is an entrainment mechanism to keep buses synchronised in a reasonably staggered…
Bus bunching as a synchronisation phenomenon
Vee-Liem Saw, Ning Ning Chung, Wei Liang Quek +2
Bus bunching is a perennial phenomenon that not only diminishes the efficiency of a bus system, but also prevents transit authorities from keeping buses on schedule. We present a p…