This paper summarises some of the main modelling and interface developments made recently in the AIMSUN microscopic traffic simulator to provide a better response to the requirements for the assessment of ITS systems, advanced transport analysis and ATMS. The description addresses two main areas: improvements on the dynamic assignment capabilities, and the embedding of the simulator in the AIMS...

PARAMICS and GETRAM/AIMSUN are two microscopic traffic simulation tools that are capable of modelling the functions of Intelligent Transport Systems (ITS) in a large network. This paper compares the Version 4.0 of PARAMICS with Version 4.0 of GETRAM/AIMSUN, based on the experience gained in using them to model a network with a freeway and arterials. The simulation tools were compared in six asp...

This paper summarises the main modelling and interface developments made recently in the AIMSUN microscopic traffic simulator to provide a better response to the requirements for the assessment of ITS systems and advanced transport analysis. The description addresses three main areas: improvements on the dynamic assignment capabilities, in interfacing traffic control systems, as those based on ...

In this paper the calibration of a traffic microsimulation model based on speed-density relationships is presented. Hypothesis test was applied in the calibration process to measure the closeness between empirical data and simulation outputs and determine whether the difference between (observed and simulated) speeddensity relationships was statistically significant. Statistical regressions bet...

In this paper, we enhanced the capability of Aimsun simulation including signal timing optimization of traffic control with real-time information on the network dynamics. The problem is formulated so as to find the duration of maximum green time for each stage in response to recurrent traffic flow fluctuation at an intersection. The approach used a simple version of the Webster method for deter...

To real-time management of the bridges under dynamic conditions, this paper develops a rule-based decision support framework to extract the necessary rules from simulation results made by Aimsun. In this rule-based system, the supervised and the unsupervised learning algorithms are applied to generalize the rules where the initial set of rules are provided by the aid of fuzzy rule generation al...

إ ةيرهجملا جماربلا لمشي اذهو ،ةيرورملا ةآرحلا ةاآاحم جمارب روطت يف مهاس ةيتامولعملا ايجولونكتلا يف ريبكلا مدقتلا ن ) Microscopic ( ، نلا ىلع بلطلا ةاآاحم اًضيأ لمشي نايحلأا ضعب يفو ، تاعطاقتو قرط نم اهيف امب لقنلا ةموظنم ةاآاحمب حمسيل يللآا بساحلا تاقيبطت قاطنو لق . ةيرهجملا ةيرورملا ةآرحلا ةاآاحم جمارب نيب نراقتو عجارت ةقرولا هذهو ) Microscopic ( ةيلومشلاو ) Macroscopic ( فلاتخلاا هجوأ ىلع ةزآر...

Micro-simulation models are rapidly gaining acceptance as promising tools to analyse and evaluate ITS and other traffic control and management measures. Capacity is a primary concept in most of traffic engineering studies, however micro-simulation models generally ignore this concept. There are significant numbers of studies on capacity analysis based on analytical approaches including Highway ...