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Modeling of Traffic Patterns on Highways Jordan Hurley Computer Systems Lab 2005-2006 Abstract

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Presentation Transcript
slide1

Modeling of Traffic Patterns on Highways

Jordan Hurley

Computer Systems Lab

2005-2006

slide2

Abstract

With the population shift to suburbs and the overall increase in population, the transit systems built as recently as 15 or 20 years ago have become problematic because they do not have enough space. Traffic jams form and dissolve, even when there are no accidents. The capability to model these situations would enable persons to predict these sorts of events, and thus the situations could be avoided, leading to a decrease in travel time even as overall volume increases.

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Purpose

The purpose of this project is to provide an effective simulation of highway traffic patterns. The first goal was to have the cars have a realistic speed. This involves them going faster in the left lanes than the right, and speeding up and slowing down based on the cars in front of them, and crashing when they collide with each other. The cars also switch lanes similar to real life, using individual patience levels that will have them switch lanes if they are not satisfied with the lane they are in because of its relative speed. The simulation now effectively stays realistic over more situations, and the ultimate goal is standard behavior across the simulation and in all situations. The next goal is to have traffic going the other way too, and then to introduce ``rubbernecking'' that affects both sides of the road. The end goal is to have more than one highway, with congestion on one affecting the other.

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Background

At this point, most research into traffic deals with it as fluid dynamics. This is good because of the similarity in terms of slowing the flow when the route narrows, but using just fluid dynamics doesn't work. The individual molecules in a pipe all act in the same way and according to the same rules, but every driver drives differently. They have accepted risk levels and make decisions based on their analysis of the situation. Fluids and their environments also don't evolve as rapidly as on-road situations.

methodology
Methodology

There are a set of environmental elements, and then Individual Characteristics for each car.

Environmental elements

Ticks

# of cars

# of crashes

Lane speed

Individual Characteristics

speed

speed limit

patience

environmental characteristics
Environmental Characteristics

Ticks

number of steps taken so far

used in the display graph

# of cars

total number of cars in the simulation at the moment

used in the display graph

useful for determining how full the road is

# of crashed

total number of crashed cars at that moment

used in the display graph

Lane speed

calculated from cars in lane

used to generate new cars

individual characteristics
Individual Characteristics

Speed

current speed of the car

used to evaluate whether or not to switch lanes

passed to environment for Lane speed

Limit

maximum speed of the car

based on the location of the car, lane-wise

Patience

evaluated for whether or not to switch lanes

if Speed/Limit is < patience, the car will attempt to switch lanes.