Pedestrian friendly traffic control signals to reduce exposure to vehicle pollutants

Muhammad M. Ishaque; Robert B. Noland

Pedestrian friendly traffic control signals to reduce exposure to vehicle pollutants

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper analyses pedestrian exposure to Carbon Monoxide from vehicle emissions in a single intersection scenario and shows that an increase in signal cycle lengths, although reducing vehicle emissions, increases pedestrian exposure to these emissions. The ultimate objective of this work is to propose a pedestrian friendly traffic control system that adapts to reduce pedestrian exposure while balancing the need for a reduction in vehicle emissions.

Original language	English (US)
State	Published - 2006
Externally published	Yes
Event	13th World Congress on Intelligent Transport Systems and Services, ITS 2006 - London, United Kingdom Duration: Oct 8 2006 → Oct 12 2006

Other

Other	13th World Congress on Intelligent Transport Systems and Services, ITS 2006
Country/Territory	United Kingdom
City	London
Period	10/8/06 → 10/12/06

All Science Journal Classification (ASJC) codes

Mechanical Engineering
Transportation
Electrical and Electronic Engineering
Computer Science Applications
Automotive Engineering
Artificial Intelligence
Control and Systems Engineering
Computer Networks and Communications

Keywords

Air quality
CAL3QHC
CMEM
Micro-simulation
Pedestrian
VISSIM

Cite this

@conference{3ea3e4a30a284f7e8cb08f2d16d8bb6b,

title = "Pedestrian friendly traffic control signals to reduce exposure to vehicle pollutants",

abstract = "This paper analyses pedestrian exposure to Carbon Monoxide from vehicle emissions in a single intersection scenario and shows that an increase in signal cycle lengths, although reducing vehicle emissions, increases pedestrian exposure to these emissions. The ultimate objective of this work is to propose a pedestrian friendly traffic control system that adapts to reduce pedestrian exposure while balancing the need for a reduction in vehicle emissions.",

keywords = "Air quality, CAL3QHC, CMEM, Micro-simulation, Pedestrian, VISSIM",

author = "Ishaque, {Muhammad M.} and Noland, {Robert B.}",

year = "2006",

language = "English (US)",

note = "13th World Congress on Intelligent Transport Systems and Services, ITS 2006 ; Conference date: 08-10-2006 Through 12-10-2006",

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TY - CONF

T1 - Pedestrian friendly traffic control signals to reduce exposure to vehicle pollutants

AU - Ishaque, Muhammad M.

AU - Noland, Robert B.

PY - 2006

Y1 - 2006

N2 - This paper analyses pedestrian exposure to Carbon Monoxide from vehicle emissions in a single intersection scenario and shows that an increase in signal cycle lengths, although reducing vehicle emissions, increases pedestrian exposure to these emissions. The ultimate objective of this work is to propose a pedestrian friendly traffic control system that adapts to reduce pedestrian exposure while balancing the need for a reduction in vehicle emissions.

AB - This paper analyses pedestrian exposure to Carbon Monoxide from vehicle emissions in a single intersection scenario and shows that an increase in signal cycle lengths, although reducing vehicle emissions, increases pedestrian exposure to these emissions. The ultimate objective of this work is to propose a pedestrian friendly traffic control system that adapts to reduce pedestrian exposure while balancing the need for a reduction in vehicle emissions.

KW - Air quality

KW - CAL3QHC

KW - CMEM

KW - Micro-simulation

KW - Pedestrian

KW - VISSIM

UR - http://www.scopus.com/inward/record.url?scp=84950168527&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84950168527&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84950168527

T2 - 13th World Congress on Intelligent Transport Systems and Services, ITS 2006

Y2 - 8 October 2006 through 12 October 2006

ER -

Pedestrian friendly traffic control signals to reduce exposure to vehicle pollutants

Abstract

Other

All Science Journal Classification (ASJC) codes

Keywords

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