title: Reduction of fuel consumption and exhaust pollutant using intelligent transport systems.
abstract: Greenhouse gas emitted by the transport sector around the world is a serious issue of concern. To minimize such emission the automobile engineers have been working relentlessly. Researchers have been trying hard to switch fossil fuel to alternative fuels and attempting to various driving strategies to make traffic flow smooth and to reduce traffic congestion and emission of greenhouse gas. Automobile emits a massive amount of pollutants such as Carbon Monoxide (CO), hydrocarbons (HC), carbon dioxide (CO2), particulate matter (PM), and oxides of nitrogen (NO x ). Intelligent transport system (ITS) technologies can be implemented to lower pollutant emissions and reduction of fuel consumption. This paper investigates the ITS techniques and technologies for the reduction of fuel consumption and minimization of the exhaust pollutant. It highlights the environmental impact of the ITS application to provide the state-of-art green solution. A case study also advocates that ITS technology reduces fuel consumption and exhaust pollutant in the urban environment.
authors.affiliation: Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia.
authors.forename: Mostofa Kamal
authors.initials: MK
authors.lastname: Nasir
authors.affiliation: Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia.
authors.forename: Rafidah
authors.initials: R
authors.lastname: Md Noor
authors.affiliation: Centre for Energy Sciences, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia.
authors.forename: M A
authors.initials: MA
authors.lastname: Kalam
authors.affiliation: Centre for Energy Sciences, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia.
authors.forename: B M
authors.initials: BM
authors.lastname: Masum
mesh_terms: D000397:Air Pollution / Q000517:prevention & control*; D001185:Artificial Intelligence; D005579:Fossil Fuels / Q000009:adverse effects / Q000706:statistics & numerical data; D017752:Greenhouse Effect / Q000517:prevention & control; D018986:Motor Vehicles / Q000592:standards*
chemical_list: D005579:Fossil Fuels