Micro-simulations for transport planning are becoming increasingly important in traffic
simulation, traffic analysis, and traffic forecasting. In the last decades the shift from using …

The model toolkit MATSim-T provides a variety of tools and resulting approaches to model
travel demand and traffic flow and their interactions. The currently preferred configuration is …

Simulating the dynamics and evolution of metropolitan transportation systems serving
millions of travelers remains a difficult task, beyond existing standard software's abilities …

Agent-based traffic assignment: Going from trips to behavioural travelers Page 274 Resource
Papers 261 12 AGENT-BASED TRAFFIC ASSIGNMENT: GOING FROM TRIPS TO …

Agent-based transport models simulate the travel demand of individuals at a fine resolution.
However, when large road networks and numerous agents are simulated, they require long …

Demand-responsive transport (DRT) is getting more attention in the public sectors. In DRT
systems operated by public sectors, providing a good and equal service to the public is more …

This paper presents an adaptive linear quadratic optimal traffic control system. The control
strategies are solved via a decentralized approach and complemented with a user-optimal …

Self-organized criticality (SOC) is a celebrated paradigm from the 90's for understanding
dynamical systems naturally driven to its critical point, where the power-law dynamics taking …

Minimising the damage caused by natural disasters such as tsunamis in vulnerable coastal
areas requires the development of an emergency action plan. An evacuation plan can …

As shared autonomous vehicles (SAV) emerge as an economical and feasible mode of
transportation in modern cities, effective optimization models are essential to simulate their …