This paper reports a review of the extensions and application of the Cell Transmission
Model (CTM). Those extensions are models able to simulate complex urban traffic dynamics …

Congestion, whether recurrent or non-recurrent, propagates through the road network. The
process of congestion propagation from a particular road to its neighbors can be regarded …

This work designs a two-level strategy at signalized intersections for preventing incident-
based urban traffic congestion by adopting additional traffic warning lights. The first-level …

Traffic congestion is a condition of a segment in the road network where the traffic demand is
greater than the available road capacity. The detection of unusual traffic patterns including …

In this study, we developed a method for measuring urban Recurrent Congestion (RC)
evolution patterns based on grid divisions and GPS-equipped vehicle mobility data. The …

This paper proposes to learn Multi-task, Multi-modal Direct Acyclic Graphs (MM-DAGs),
which are commonly observed in complex systems, eg, traffic, manufacturing, and weather …

Advanced information and communication technologies can be used to facilitate traffic
incident management. If an incident is detected and blocks a road link, in order to reduce the …

Many spatiotemporal events can be viewed as contagions. These events implicitly
propagate across space and time by following cascading patterns, expanding their …

Monitoring traffic states of urban road networks is essential to relieving traffic burdens and
designing traffic management strategies. However, most traffic state estimation methods are …

Cell transmission model (CTM) is useful for evaluating the performance of urban traffic
networks due to its mathematical formalism. This paper explores the application of CTM to …