Preliminary Results of a Multiagent Traffic Simulation for Berlin [PDF]
This paper provides an introduction to multi-agent traffic simulation. Metropolitan regions can consist of several million inhabitants, implying the simulation of several million travelers, which represents a considerable computational challenge.
Balmer, Michael +4 more
core +1 more source
A nonlinear equation system approach to the dynamic stochastic user equilibrium simultaneous route and departure time choice problem [PDF]
postprin
Gao, Z +4 more
core +1 more source
The Spatial Variability of Vehicle Densities as Determinant of Urban Network Capacity [PDF]
Due to the complexity of the traffic flow dynamics in urban road networks, most quantitative descriptions of city traffic so far are based on computer simulations.
Geroliminis, Nikolas +2 more
core +4 more sources
A Perimeter Control Strategy for Oversaturated Network Preventing Queue Spillback
AbstractA perimeter signal control strategy is investigated for a congested network. First, an algorithm is proposed to determine the proportion of traffic should be held outside during peak periods at each entry link, which is achieved by properly allocating green time for those movements.
Li, Yishun, Xu, Jianmin, Shen, Lvou
openaire +1 more source
Adaptive traffic signal control for real-world scenarios in agent-based transport simulations [PDF]
This study provides an open-source implementation of a decentralized, adaptive signal control algorithm in the agent-based transport simulation MATSim, which is applicable for large-scale real-world scenarios. The implementation is based on the algorithm
Kühnel, Nico +2 more
core +1 more source
On the continuum approximation of the on-and-off signal control on dynamic traffic networks [PDF]
In the modeling of traffic networks, a signalized junction is typically treated using a binary variable to model the on-and-off nature of signal operation.
Friesz, TL +4 more
core +2 more sources
Macroscopic modelling and robust control of bi-modal multi-region urban road networks [PDF]
The paper concerns the integration of a bi-modal Macroscopic Fundamental Diagram (MFD) modelling for mixed traffic in a robust control framework for congested single- and multi-region urban networks.
Ampountolas, Konstantinos +2 more
core +1 more source
MATSim-T : Architecture and Simulation Times [PDF]
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 typically aggregated data to more detailed, individual based, complex ...
Balmer, Michael +5 more
core +1 more source
BGAR: A Dual‐Channel Deep Learning Framework for Urban Expressway Traffic Accident Prediction
This work introduces BGAR, a purpose‐built deep learning framework that resolves data heterogeneity in traffic accident prediction by using a bidirectional GRU and multi‐head attention to fuse dynamic and static features. Our architecture achieves superior predictive accuracy and provides diagnostic insights, enabling a critical shift from reactive ...
Xiuqi Zhang +4 more
wiley +1 more source
Abstract The concept of contraflow left‐turn lane (CLL) design has been proposed for nearly 10 years, which provides a novel approach to alleviate traffic congestion in urban areas, especially for those signalized intersections with heavy left‐turn traffic.
Xiao Chen, Yunqing Jia
wiley +1 more source

