1. Topic

  Micro-simulation traffic models

2. Introduction

   

Introduction

The urban transportation system is very complex, and its performance depends on decisions made on many levels of society whose goals and purposes may be in conflict with each other. The process of evaluating, designing and managing such a system can therefore not be carried out without the aid of properly formulated models. In fact, over the past three decades, there has been growing interest in the ability of computer applications and simulation models for all aspects of transport operations, planning and management.

The choice of the Computer Simulation Systems (CSS) to be used in transport studies is governed by the objectives of the analysis as well as the available resources. A common classification method for CSS is based on the detail level with which the incorporated models suite intends to simulate the components of the transport system. According to this, CSS can be conveniently classified into four categories that reconcile the differences between alternative modelling concepts and theories, as well as between different levels of investigation in traffic and transport studies. Starting at the most detailed (micro-) level, we have:

· Operational micro-simulation models that consider the characteristics of each individual vehicle and its interactions with other vehicles in the traffic stream;

· Tactical network models that are suitable for dynamic traffic effects analysis which are critical in network simulation during medium to congested flow conditions;

· Strategic Multi-modal transport models that are best suited to the urban-scale analysis of travel demand and transportation network performance;

· Land-use/transport interaction models that synthesise the dynamic interaction between transport provision and land-use activities.

3. Discussion

   

Discussion

Operational micro-simulation models packages refer to microscopic models that are detailed enough to analyse traffic control schemes or to assess the impact and sensitivity of alternative design parameters such as number of lanes, length of ramps and lane change regulations. These models focus almost entirely on road transport and normally assume that all aspects of travel demand, other than, perhaps, route and departure time choice, remain fixed. They are typically dynamic in that they include time as an explicit variable and treat each vehicle on the road network individually. Typical micro-simulation modelling methods are based on car-following and lane changing theories which can represent the traffic operations and vehicle/driver behaviours in detail. The car-following approach is quite straightforward: each vehicle attempts to advance at its desired speed while maintaining a safe following distance from the vehicle ahead. The lane changing theory describes the lateral traffic behaviour. This may be considered in term of a number of perception thresholds governing the consideration of the risk of accepting a gap in a neighbouring lane.

Microscopic models incorporate queuing analysis, shock-way analysis and other analytical techniques. Most microscopic simulation models are stochastic, employing Monte Carlo procedures to generate random numbers for representing the driver/vehicle behaviour in real traffic condition.

The scale of application of micro-simulation models depends on the size of the computer memory and on the computer power available. The typical scale of application varies from small type, about 20 km, 50 nodes and 1000 vehicles, to large type, 200 nodes and many thousands vehicles (deliverable 3 – EU-FP4 SMARTEST project, 1997).

4. Recommendation / Conclusion

   

Operational micro-simulation models simulate the individual components of traffic flow and congestion, and present its output as a real-time visual display for traffic management and road network design.

Micro-Simulation is a convenient way to study signal cycle times, ramp metering, route diversion, speed limits and other measures within the traffic network context. It is also used to model the effects of advanced traveller information systems and route guidance on individual travel decisions. Thus, it can model the responses of users to both controls and real-time traffic information, as well as the interactions between them, and is used for testing, verifying and improving traffic management policies.

Micro-simulation models are, in principle, the best tools to evaluate the emissions of pollutants. They give a full range of output in this domain and offer the ability to simulate at a great level of detail. Micro-simulation models are very useful because they give accurate information about air pollutant emission and fuel consumption. The best results can be achieved through a connection to a microscopic fuel consumption and pollutants emission model (see topic on emission models The role and prerequisites for Transport Emission Models in Urban Planning, ENEA).

5. Examples / Further Reading

   

Traffic simulation models used in Utrecht

Further Examples:

Traffic parameters monitored in Utrecht

6. Additional Documents / Web Links

   

A reasonably comprehensive review of alternative software packages for micro-simulation has been provided by the EC DGVII SMARTEST Project. SMARTEST project was directed toward modelling and simulation of dynamic traffic management problems caused by incidents, heavy traffic, road works and events. It covers incident management, intersection control, motorway flow control, dynamic route guidance and regional traffic information. The project’s objectives were to: 1. review existing micro-simulation models, so that gaps can be identified; 2. investigate how the SMARTEST models can best be enhanced to fill the identified gaps, thus advancing the State-of-the-Art; 3.incorporate the findings of the study into a best practice manual for the use of micro-simulation in modelling road transport and to disseminate these findings throughout Europe.

Further information on functionality and features of the software packages for micro-simulation are available at the following WEB site:

· www.ptv.de (VISSIM).

· www.traficon.fi (HUTSIM).

· www.wsatkins.com (DRACULA).

· www.kutc.ku.edu (CORSIM).

· www.aimsun.com (AIMSUN2).

· www.paramics-online.com (PARAMICS).

Last Updated


 

25th January 2005

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