
Deeper than Data
What is the value of data analytics in the mobility sector? The usual starting place is to look at historical data to find recurrences and trends but if you have real-time data feeds, then you can go deeper
What is the value of data analytics in the mobility sector? The usual starting place is to look at historical data to find recurrences and trends but if you have real-time data feeds, then you can go deeper
The phrase “digital twin” has become ubiquitous in the field of transportation, but what does it really mean?
Unlike purely data-driven methods, a simulation-based approach enables prediction of traffic states under recurrent conditions but also to predict the impact of incidents or changes to traffic control plans.
The power of combining AI techniques with simulation in real time for accurate predictions and effective response plans under any conditions.
Mobility patterns are a cornerstone of mobility demand modelling; clustering helps us extract usable daily patterns from huge sets of traffic data.
Classification problems with highly unbalanced datasets, such as incident detection, pose the trade-off between true positive rate and false negative rate.
Unsupervised learning is a great tool for data analysis, particularly for understanding how mobility has changed due to COVID-19.
Supervised learning can help us to train our model to predict the right mobility patterns.
OK, big data is not dead, but the AI community is already moving beyond it and towards a new AI paradigm.
In the last post we discussed the current trends in Machine Learning (ML) and the need to go beyond big data. But how does this affect the fields of ITS and smart cities?
机器学习可通过提供路网交通估计状态协助交通仿真系统并减少计算工作量。
The EU-funded SPINE project employs simulation and data-driven models to virtually assess the impact of new solutions for increasing public transport’s modal share and user satisfaction.
Evaluating safety in a traffic simulation environment has always been a controversial research topic because vehicles in a simulation are programmed in such a way that they cannot potentially cause accidents.
Road safety is a major concern for public administrations worldwide: severe injuries and fatalities are not only a human tragedy but also have huge social costs
在新兴的多角色 (multi-actor) 客运和货运系统中,我们如何明确地呈现、仿真和评价日内 (within-day) 行为(需求层面)和运营(供应层面)的动态?
The MultiDEPART team developed tools to plan, manage and monitor DRT solutions in Lisbon, Barcelona Metropolitan Area and Thessaloniki, targeting PTAs and facilitating the harmonization and scalability of DRT services across European cities.
In this new article, Mark Brackstone takes a look at how this EU-funded research group has taken cost-benefit analysis to the next level.
When Main Roads Western Australia installed a new traffic management system, their staff needed to learn how to use it in a realistic but risk-free environment – simulation training was the perfect solution.
How the IMHOTEP research project is using simulation technology to improve airport management and ease the many pain points for customers traveling to and from busy airports.
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Aimsun Next 20
Aimsun Next 8.4
Aimsun Next 20
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Aimsun Next 8.4
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Aimsun Next 20
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Aimsun Next 8.4
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T1 - Aimsun Next 8.4 User's Manual
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UR - [In software]. Available: qthelp://aimsun.com.aimsun.8.4/doc/UsersManual/Intro.html