Already successfully deployed in sites such as San Diego and Grand Lyon, Aimsun Live simulates large areas in real time, allowing traffic operators to envisage traffic conditions before they unfold and to evaluate the impact of congestion management strategies. It’s fast too: 2-5 minutes is all Aimsun Live needs to produce comprehensive traffic predictions for the next hour.
Aimsun Live is the perfect engine for any Advanced Traveller Information System (ATIS) or Advanced Traffic Management System (ATMS), allowing for a wealth of applications:
Simulation has the potential to significantly improve the accuracy and relevance of travel-time forecasts. Because it takes capacity changes and network effects into account, it is the only technique that can allow operators to compare the effectiveness of complex alternative traffic management strategies quickly and objectively, leading to:
Aimsun Live slots right into the traffic control centre and continuously processes live field data, simulating vehicle movement inside a road network of any size, from a single highway corridor to an entire major world city. By combining these live traffic data feeds and high-speed simulations with emulation of congestion mitigation strategies, Aimsun Live can accurately forecast the future network flow patterns that will result from a particular traffic management or information provision strategy.
Aimsun Live takes an accurate reproduction of the current traffic status as the starting point for the forecasting process. By comparing the records from the previous 30 minutes with the historical patterns in the database, Aimsun Live allows you to load the appropriate trip tables (Origin-Destination matrices) and simulate the network under its current capacity status. This sophisticated, simulation-based monitoring procedure is supported by time-series analysis and not only produces accurate travel-time forecasts but also offers advanced incident detection capabilities.
Unlike traditional analytical forecasting processes, a simulation of individual vehicles permits an explicit and faithful emulation of ITS policies such as:
This allows Aimsun Live to reproduce traffic management strategies and compare quantitatively their ability to mitigate congestion before their implementation in the field.
The comparison between strategies described above relies on the ability of Aimsun Live to synthesise huge amounts of simulated data in unique performance indices. This allows control centre operators to review the future network status and choose the best strategy by consulting a series of concise, individually rated temperature maps.
Importantly, these measures of effectiveness are not fixed but can be customised so that they correspond faithfully to the traffic management policies that a road authority wishes to put in to action.
With access to individual vehicle delays, travel times, position, pollutant emissions, speed, route and many other characteristics, the measures of effectiveness can be as complex as you like.
One of the key elements that makes Aimsun Live a unique solution for real-time forecasting and information provision is its rich and innovative combination of dynamic traffic assignment (DTA) techniques within the same simulation to give the most realistic representation possible of network behavior.
Combine dynamic user equilibrium (DUE) techniques and stochastic route choice models with mesoscopic, microscopic or hybrid modeling for total flexibility of combining planning applications (modeling steady-state behavior under recurring conditions) with operational assessment (looking at short-term capacity and demand signals for non-recurring situations such as road works or short-term lane closures).
Use Aimsun’s DTA model analysis results to evaluate many more meaningful measures related to individual travel time and cost, as well as system-wide network measures for regional planning purposes.
To ensure the best possible forecasting accuracy, Aimsun Live includes a module that continuously compares forecast performances against field measurements received once the prediction period has passed. Forecasting errors give rise to alerts and also lower the confidence associated with forecasts produced during that same period. This comparison helps traffic operators to make informed decisions but also guarantees the availability of a frequently updated network and traffic representation.
To help you get Aimsun Live off the shelf and onto the streets, we offer a complete solution that goes beyond basic product introduction, offering individual project solutions to address your specific requirements for real-time decision support. We offer: