CIVL9700 Transport Systems:Traffic Data Analysis

CIVL9700 Transport Systems:Traffic Data Analysis

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CIVL9700 Transport Systems

Question:

Traffic Data Analysis

Description

This assignment requires the use of a spreadsheet software (e.g., MS Excel) and a programming language (e.g., MATLAB, Python, etc.). Other materials specific to individual tasks is noted in the task descriptions.There is no unique answer to the tasks. However, there are certain calculations, conclusions, and statements that are wrong, irrelevant, or not well-supported by observations. Please avoid stating them.Every task is presented in a few steps. These steps are only to guide you through the tasks.The report shouldn’t be structured according to the steps. Instead, it should have a continuous and cohesive structure within each task focusing on the motivation and purpose of steps.A general guideline for the Preliminary report is to include the results of the first 3 steps of

Task 1 and the first 2 steps of Task 2.

-Evaluation is based on Calculations/Accuracy, Diagrams, Presentation, Completeness, and Discussion. 

Task 1

Traffic Data Analysis: Loop Detectors Data and the Fundamental Diagram

Required Material:

A Spreadsheet Software (Excel) Data files: CIVL2700-task1-data.xls (available on Canvas)

Introduction:

In this first task, you will investigate a set of traffic data collected from inductive loop detectors located on a motorway. The aim is to estimate some common traffic state variables (e.g. flow, density, occupancy, speed) and plot the relationships between them. Moreover, you need to estimate the Fundamental Diagram for different time and space scales (aggregation) and identify how this scaling changes the results. You need to also compare different estimators of average flow and density and comment on the results.

Data description:

The data file contains inductive loop detector readings (aggregated over 5-minute intervals) for two weeks in November 2007 for 25 successive loop detector stations (identified by the VDS number) on a particular freeway (I-880 N) in Alameda County, California, US. Find the loop detector information in the last sheet. The loop detector data are in the form of counts and occupancies (per lane and averaged over all lanes). The data also contain a value called “Observed” which designates the percentage of time that the detector was working properly. 

Task 2 

Assessment of Traffic on a Road

Required Material:

A Programming Software (e.g. Matlab)

Introduction:

In this task, you will model a road as a queueing system. The aim is to investigate the effect of different aspects of modelling (e.g. modelling assumptions, deterministic vs. stochastic arrival and departures) on the analysis of the system and study a few performance measures of the system (e.g. average travel time). To this end, you have to develop an event-based queueing simulation (i.e. a type of model) of traffic on a single road (e.g. one street). A single road is inherently a single queue that has one state variable: the number of waiting vehicles. The events of a single queue are: arrival, service or departure, and termination. The model should keep track of each event by recording a time-sorted list of events. We would like to see the effect of deterministic and stochastic arrivals and departures on the queueing dynamics such as number of waiting vehicles and average travel time of vehicles. For the deterministic process, you can use a uniform process while for stochastic process, you can use Poisson process.

Poisson distribution:

Siméon-Denis Poisson (1781–1840) was a French mathematician. The Poisson distribution is frequently used to model (or simulate) events, where events are occurring at random time points assuming events occur continuously and independently of one another. A typical usage is to model arrivals of vehicles (or customers) in a queue. The PDF, expected value, and variance of a Poisson distribution are as follows.

CIVL9700 Transport Systems

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