In the face of capacity disruptions (due, for example, to traffic incidents or poor weather),
information provision and congestion pricing are alleviating policies. We compare …

This study examines the potential of an iterative and interactive approach to learn network
traffic dynamics and optimise tolling strategies considering time-varying stochastic traffic. A …

Incidents and other random factors may create variations to the transportation system and
thus result in stochastic road capacity during the travel period. The realized capacity on a …

For ensuring the orderly operation of the port, it is vital to coordinately schedule available
ship loaders and vessels that plan to enter and exit the port when ship loaders are unable to …

In the process of continuous development of autonomous driving technology, there has
been an evolution towards the intensification of transportation through autonomous modular …

Extensive empirical studies show that the long distribution tail of users' travel time in
transportation systems and the corresponding unexpected delay can have much more …

The staggered shifts scheme has been widely discussed to alleviate traffic congestion in
recent years. However, most previous research considers limited numbers of work start …

We analyse time-varying tolling in the stochastic bottleneck model with price-sensitive
demand and uncertain capacity. We find that price sensitivity and its interplay with …

In the face of capacity disruptions (due, for example, to traffic incidents or poor weather),
information provision and congestion pricing are alternative alleviating policies. A state …

The bottleneck model has been widely used in the past fifty years to analyze the morning
commute. To reduce the complexity of analysis, most previous studies adopted …