Project description Combination of microscopic and macroscopic traffic simulation for modeling Kungsgatan in Norrköping Background In recent years the interest for micro simulation techniques to model traffic in congested road networks has gained momentum. The interest is often due to development of real-time traffic management and control strategies that react to the highly dynamic and variable nature of traffic conditions and driver behavior. The micro models are generally used for networks consisting of a couple of intersections. For planning analysis at city level, static or dynamic assignment tools are more suitable than microscopic models. Changes in a small part of a network often influence a larger area and a microscopic simulation analysis of a constrained area has often to be combined with a macroscopic assignment analysis on city level. Aim and purpose The aim of this project is to build, calibrate, validate and experiment with a small traffic network using the microscopic traffic simulation software AIMSUN in combination with a traffic assignment model. The area along Kungsgatan shall be studied. The purpose of the project is to give insights in how traffic simulation models in combination with static assignment models can be used for analyzing real world traffic control problems. Organization Project supervisor: Johan Janson Olstam Examiner: Clas Rydergren The project shall be carried out according to the project organization description. Project group The project should be conducted by a group of 3-4 students. This project requires that the students have taken the course TNK095 Traffic planning and simulation. Project description The project covers the following steps - Plan and carry out a traffic simulation study for the area described below. - Collect necessary input data to a traffic simulation model and analyze and evaluate the uncertainty in the input data. - Create, calibrate and validate a traffic simulation model in Aimsun. - Find a suitable way to use output data from the micro model as input to the macro model and vice versa. - Decide on which outputs that are relevant to analyze for different types of traffic simulation applications and be able to conduct suitable output analyzes. The student should also be able to reflect on how the output data is influenced by road design, driver behavior, travel demand, etc. - Run the micro and macro model iteratively to get an “equilibrium” solution. The project group needs to collect the necessary data for building the model. The model shall be calibrated and validated. The group should also propose an alternative design of the network and analyze this design and compare it to the original design using the combined traffic simulation and traffic assignment model. Suitable design changes may for example be: - Change of regulation to traffic signal, roundabout, yield, or stop. - Change of signal timings and signal coordination. - Change the geometric intersection design: number of lanes, left or right turn pockets, bus lanes, bus stop placements, etc. Kungsgatan is an urban arterial, carrying a big part of the traffic travelling between the southern and northern parts of Norrköping. It is one of few possibilities to pass in southbound and northbound direction through Norrköping. There are lots of pedestrians and bicycles both crossing and travelling along Kungsgatan. The emission levels at Kungsgatan are often higher than allowed. Therefore, the municipality wants to redesign Kungsgatan to decrease the amount of traffic travelling on Kungsgatan. They want to evaluate the traffic effects both at a local and global (city) level. For this project, an “initial” Aimsun network and an “initial” macro (Matlab based) network are available. The Aimsun network is from 2005 and consists of 5 signal controlled intersections (3 traffic actuated signals and 2 pedestrian crossings). Your task is to update the Aimsun model with respect to geometry, traffic demand, signal settings, etc. so that it corresponds to the current design. The main task is to find a suitable way to combine the microscopic and the macroscopic model. Project goals The project shall result in a method for combining an Aimsun model and a Matlab based static assignment model. At least one alternative design shall be suggested, evaluated and compared to the basic scenario using the combined model. Delimitations Appropriate delimitations are specified by the project group. Project organization Project supervision A project leader and contact person has to be appointed for in each project. Each project leader informs the course examiner of their existence and present the project group and project number. Every project is appointed a supervisor. One appointment with the supervisor each week is scheduled. Other appointments have to be booked directly with the supervisor. Project requirements and documentation There are a number of decision points. Each decision point is associated with a deliverable. Each of these points is given in the list below. Each decision shall be discussed with the supervisor, or handed in to the examiner. Preliminary decision points: October 26: Project start November 4: Project specification and project plan delivery December 7: Final report submission December 11: Final report presentations December 18: Project assessment and written opposition submission Contact persons Supervisor: Johan Janson Olstam, email@example.com Examiner: Clas Rydergren, firstname.lastname@example.org Project grading Each project can be graded, Fail, 3, 4 or 5, or the corresponding ECTS grade. Each step below will be evaluated regarding the complexity, realization, systematic treatment of input data, modeling and output data. For the grade 3, at least the following steps have to be carried out - A detailed project specification and project plan, carefully written in English. - A systematic and well documented data collection - An Aimsun model over the above described area. - A method for combining the Aimsun model with a traffic assignment model of Norrköping. - Verification and calibration of the model output. - Evaluate one design change in the modeled traffic system and compare to the basic scenario with regard to both local and area wide effects. - A final report carefully written in English. For the grade 4, the grade 3 steps have to be carried out with very good results and the following steps have to be carried out: - A systematic and complete data collection for the described area. - Calibration based on data collected on gap acceptance, travel times and queue lengths. - Validation of the output from the Aimsun model. - Evaluate one major (complex) design changes in the modeled traffic system and compare the results with each other and to the basic scenario, using suitable statistical methods. For the grade 5, the grade 3 and 4 steps have to be carried out with extremely good results and the following steps have to be carried out: - Systematic modeling of all signalized intersection in the area, either with time or traffic actuated signal timings. - Relate to the results from the combined model to earlier documented studies with combined models in the literature. - Systematic validation of the model, based on input data that is not used for calibration.
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