Traffic Estimation From Vehicle Data - Revision history

Slawek at 08:52, 30 January 2017

2017-01-30T08:52:36Z

Slawek at 10:29, 26 October 2016

2016-10-26T10:29:54Z

Slawek at 11:56, 14 October 2015

2015-10-14T11:56:09Z

10.0.2.2: Created page with "{{StudentProjectTemplate |Summary=Estimate traffic density based on logged vehicle data |Keywords=Data Mining |TimeFrame=Spring 2014 |Prerequisites=Cooperating Intelligent Sys..."

2014-03-07T11:42:46Z

Created page with "{{StudentProjectTemplate |Summary=Estimate traffic density based on logged vehicle data |Keywords=Data Mining |TimeFrame=Spring 2014 |Prerequisites=Cooperating Intelligent Sys..."

New page

{{StudentProjectTemplate
|Summary=Estimate traffic density based on logged vehicle data
|Keywords=Data Mining
|TimeFrame=Spring 2014
|Prerequisites=Cooperating Intelligent Systems and Learning Systems courses
Some level of Matlab and/or Python programming knowledge is recommended
|Supervisor=Slawomir Nowaczyk, Iulian Carpatorea,
|Level=Master
|Status=Open
|Title=Traffic Estimation From Vehicle Data
}}
The goal of the project is to design a method for estimating traffic flow and density from a fixed set of sensors on-board Volvo trucks that include information about vehicle operation (such as speed, engine load, accelerator pedal position, etc.), GPS coordinates as well as environment characteristics (such as road geometry, ambient temperature, date, etc.)

Our intention is to use the results of this work within the Learning Fleet research project as part of research cooperation between Halmstad University and Volvo Technology in Göteborg.

Preliminary workplan:

WP1: Investigate available data in order to find suitable candidate signals for traffic flow and density estimation

WP2: Develop and test algorithms based on the previously selected signals (or their subsets)

WP3: Compare various algorithms and highlight the criteria of their applicability, as well as pros and cons of selected approaches

@@ Line 6: / Line 6: @@
 Some level of Matlab and/or Python programming knowledge is recommended
 |Supervisor=Slawomir Nowaczyk, Iulian Carpatorea,
 |Level=Master
-|Status=Open
+|Status=Ongoing
 |Title=Traffic Estimation From Vehicle Data
 }}

@@ Line 2: / Line 2: @@
 |Summary=Estimate traffic density based on logged vehicle data
 |Keywords=Data Mining
-|TimeFrame=Spring 2016
+|TimeFrame=Spring 2017
 |Prerequisites=Cooperating Intelligent Systems and Learning Systems courses
 Some level of Matlab and/or Python programming knowledge is recommended