Parallel discrete event simulation
Communications of the ACM - Special issue on simulation
Virtual time synchronization over unreliable network transport
Proceedings of the fifteenth workshop on Parallel and distributed simulation
µsik " A Micro-Kernel for Parallel/Distributed Simulation Systems
Proceedings of the 19th Workshop on Principles of Advanced and Distributed Simulation
Scaling time warp-based discrete event execution to 104 processors on a Blue Gene supercomputer
Proceedings of the 4th international conference on Computing frontiers
An analysis approach to large-scale vehicular network simulations
Proceedings of the 2007 Summer Computer Simulation Conference
Parallel Vehicular Traffic Simulation using Reverse Computation-based Optimistic Execution
Proceedings of the 22nd Workshop on Principles of Advanced and Distributed Simulation
GPU-based Real-Time Execution of Vehicular Mobility Models in Large-Scale Road Network Scenarios
PADS '09 Proceedings of the 2009 ACM/IEEE/SCS 23rd Workshop on Principles of Advanced and Distributed Simulation
Winter Simulation Conference
| Hi-index | 0.00 |
Emerging needs in transportation network modeling and simulation are raising new challenges with respect to scalability of network size and vehicular traffic intensity, speed of simulation for simulation-based optimization, and fidelity of vehicular behavior for accurate capture of event phenomena. Parallel execution is warranted to sustain the required detail, size and speed. However, few parallel simulators exist for such applications, partly due to the challenges underlying their development. Moreover, many simulators are based on time-stepped models, which can be computationally inefficient for the purposes of modeling evacuation traffic. Here an approach is presented to designing a simulator with memory and speed efficiency as the goals from the outset, and, specifically, scalability via parallel execution. The design makes use of discrete event modeling techniques as well as parallel simulation methods. Our simulator, called SCATTER, is being developed, incorporating such design considerations. Preliminary performance results are presented on benchmark road networks, showing scalability to one million vehicles simulated on one processor.