Cblab: Scalable traffic simulation with enriched data supporting
Traffic simulation provides interactive data for the optimization of traffic policies. However,
existing traffic simulators are limited by their lack of scalability and shortage in input data …
existing traffic simulators are limited by their lack of scalability and shortage in input data …
Cblab: Supporting the training of large-scale traffic control policies with scalable traffic simulation
Traffic simulation provides interactive data for the optimization of traffic control policies.
However, existing traffic simulators are limited by their lack of scalability and shortage in …
However, existing traffic simulators are limited by their lack of scalability and shortage in …
CityFlowER: An Efficient and Realistic Traffic Simulator with Embedded Machine Learning Models
Traffic simulation is an essential tool for transportation infrastructure planning, intelligent
traffic control policy learning, and traffic flow analysis. Its effectiveness relies heavily on the …
traffic control policy learning, and traffic flow analysis. Its effectiveness relies heavily on the …
Building a large-scale microscopic road network traffic simulator in apache spark
Road network traffic data has been widely studied by researchers and practitioners in
different areas such as urban planning, traffic prediction, and spatial-temporal databases …
different areas such as urban planning, traffic prediction, and spatial-temporal databases …
TransWorldNG: Traffic simulation via foundation model
Traffic simulation is a crucial tool for transportation decision-making and policy development.
However, achieving realistic simulations in the face of the high dimensionality and …
However, achieving realistic simulations in the face of the high dimensionality and …
LCSim: A Large-Scale Controllable Traffic Simulator
With the rapid development of urban transportation and the continuous advancement in
autonomous vehicles, the demand for safely and efficiently testing autonomous driving and …
autonomous vehicles, the demand for safely and efficiently testing autonomous driving and …
Towards a benchmark for the quantitative evaluation of traffic simulators
P Toshniwal, M Hanai, ES Liu - Proceedings of the 2017 ACM SIGSIM …, 2017 - dl.acm.org
Smart city projects, infrastructure planning, and traffic engineering are some of the
applications where traffic simulations are playing an increasingly important role. Although …
applications where traffic simulations are playing an increasingly important role. Although …
MOSS: A Large-scale Open Microscopic Traffic Simulation System
In the research of Intelligent Transportation Systems (ITS), traffic simulation is a key
procedure for the evaluation of new methods and optimization of strategies. However …
procedure for the evaluation of new methods and optimization of strategies. However …
Dissecting geosparksim: a scalable microscopic road network traffic simulator in apache spark
Researchers and practitioners have widely studied road network traffic data in different
areas such as urban planning, traffic prediction and spatial-temporal databases. For …
areas such as urban planning, traffic prediction and spatial-temporal databases. For …
Generating traffic data for any city using smarts simulator
We have recently developed a flexible traffic simulator called Scalable Microscopic Adaptive
Road Traffic Simulator (SMARTS)[13]. Among many important features of SMARTS in this …
Road Traffic Simulator (SMARTS)[13]. Among many important features of SMARTS in this …