MASCOT · Behavioural Modelling and Simulation of Congested Traffic
FP6 — Marie Curie Actions (Human Resources and Mobility)
- Duration
- 2006-01-01 → 2007-12-31
- EU contribution
- €80,000
- Participants
- 1
- Scheme
- IRG
Lines connect the coordinator with its partners.
Results in brief
Final Activity Report Summary - MASCOT (Behavioural Modelling and Simulation of Congested Traffic)
Microscopic traffic simulation, which captures traffic phenomena through detailed representation of individual drivers and their behaviour, is increasingly being recognised as an important tool for traffic analysis. Explicit and detailed modelling of the behaviour of individual drivers allows the simulation to be used to study not only traditional traffic engineering problems but also for intelligent Transportation Systems (ITS) applications and traffic impacts, such as safety analysis, energy consumption and air pollution. The fidelity of microscopic traffic simulation results heavily depends on the quality of the driving behaviour models it uses. However, there are significant gaps in the ability of current driving behaviour models to replicate the behaviour of real-world drivers. This project focuses on developing new driving behaviour models that facilitate development of microscopic simulators. In particular, new models were developed and estimated for some of the key driving behaviours, namely lane changing, gap acceptance and overtaking. Advances in modelling of lane changing behaviours were made in several directions: new models take into account persistence, anticipation and impatience on drivers' actions using advanced econometric methods. Furthermore, our results show that lane changes, which are often modelled as instantaneous events, take a significant time to be completed. Overtaking in two-lane roads is a behaviour that has important implications on traffic safety and performance. A model for the decisions drivers make whether to overtake or not was developed and estimated using data that was collected in a specialized driving simulator experiment. Factors affecting overtaking behaviour include the relations between the subject vehicle and its surroundings, as well as characteristics of the road facility and the driver himself.
Data: CORDIS, © European Union
Project objective
Microscopic traffic simulation, which captures traffic phenomena through detailed representation of individual drivers and their behaviour, is increasingly being recognized as an important tool for traffic analysis. In recent years, the emergence of intelligent Transportation Systems (ITS) applications has further stressed the importance of microscopic traffic simulation. Explicit and detailed modeling of the behaviour of individual drivers, allows the simulation to be used to study not only traditional traffic engineering problems but also traffic impacts, such as safety analysis, energy consumption and air pollution. The fidelity of microscopic traffic simulation results heavily depends on the quality of the driving behaviour models it uses. However, there are significant gaps in the ability of current driving behaviour models to replicate the behaviour of real-world drivers. The purpose of this project is to develop, test and implement new driving behaviour models that enable development of microscopic simulators. The following major tasks will be performed: Use of rigorous statistical methods to specify and estimate advanced driving behaviour models. These models will improve the performance of simulation models for current applications and expand the range of applications for which the models can be used. Implement the new models within a traffic simulator, and validate it against real-world traffic data. Demonstrate the improved capabilities of the traffic simulator that implements the new driving behaviour models by application to a real-world problem.
Original text from CORDIS.
Participants
- TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY · HAIFACoordinatorIsrael
Links
Data: CORDIS, © European Union