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The purpose of this paper is to provide a traffic route selection strategy based on minimum carbon dioxide (CO₂) emission by vehicles over different route choices.

The study used queuing theory for Markovian M/M/1 model over the road junctions to assess total time spent over each of the junctions for a route with junctions in tandem. With parameters of distance, mean service rate at the junction, the number of junctions and fuel consumption rate, which is a function of variable average speed, the CO₂ emission is estimated over each of the junction in tandem and collectively over each of the routes.

The outcome of the study is a mathematical formulation, using queuing theory to estimate CO₂ emissions over different route choices. Research finding estimated total time spent and subsequent CO₂ emission for mean arrival rates of vehicles at junctions in tandem. The model is validated with a pilot study, and the result shows the best vehicular route choice with minimum CO₂ emissions.

Proposed study is limited to M/M/1 model at each of the junction, with no defection of vehicles. The study is also limited to a constant mean arrival rate at each of the junction.

The work can be used to define strategies to route vehicles on different route choices to reduce minimum vehicular CO₂ emissions.

Proposed work gives a solution for minimising carbon emission over routes with unsignalised junctions in the tandem network.

The purpose of this paper is to provide a solution for greening the supply chain of small and medium enterprises (SMEs) by minimising the vehicular pollutant emission in the logistics network.

The paper proposes an optimisation model to reduce the pollution emission in the logistics of supply chain network in SMEs. The work considers vehicle routing and selection of suppliers, manufacturers and assemblers according to the availability of various Bharat Stage Emission Standards type vehicles. Introsort sorting based selection algorithm is used to solve the problem. The proposed solution is implemented using C++ on an experimental data set for analysing the model.

The outcome of the study is a pollution optimisation model for logistics of SMEs. The finding shows an approach to reduce total vehicular pollution emission in the logistics network in meeting the demand. The model is tested over an experimental study, and the result findings show which supply chain entities, type of environmental standard vehicles and vehicle routes are selected for the specific demand.

The proposed model is confined to pollution optimisation with limited parameters only and does not consider cost and other factors that can be included in future work.

The work can be used for limiting pollution in logistics system as the corporate social responsibility of enterprises.

Proposed work presents a sustainable and green solution for pollution control in logistics activities of the SMEs.

The purpose of this study is to examine the growing energy consumption pattern and emissions due to increasing vehicular density in the Vellore district. The transport demand in Indian cities has increased substantially over the past few years. Increasing household incomes and economic development in cities have added to this growing demand.

The growth of Vellore town currently is such that in a short period of time, the development is likely to engulf the entire district as one big city, as it happened for Chennai. It is at a transitional stage where it is possible to bring about certain policy changes to prevent the catastrophic effects of urbanization. To test the objectives of the study, statistical and mathematical tools such as mean, coefficient of variation, correlation and regression models are used. Growth of vehicle population in Tamil Nadu in general and Vellore in particular are analyzed by computing the percentage rate of change and trend rate of growth.

A study of the past four years shows a tremendous growth in the number of two-wheelers, while the number of buses has declined. The study also shows that public transport fuel consumption is < 20 per cent of the overall fuel consumption. The emission of all greenhouse gases is rising and it shows a linear growth. The increase in emission of CO₂ is most alarming.

The diversity of sources that have been combined together implies a consequent reduction in accuracy. Data from different sources had different geographical boundaries (state, district, region and country). Thus, the data had to be translated to the relevant geographical area by using proportionality ratio. This manipulation does impact on the accuracy of the used data.

This article provides a framework that can inform decisions makers on consequences in the absence of timely intervention and policy changes.

Road transport is an inherently complex sector as it deals with a very large number of individual vehicles and factors of influence. The findings have implications for government in general and policy-makers in particular. This article puts together data of a particularly vulnerable region at a time when policy changes could bring about lasting beneficial effects. This region has not been included in any previous research.

The purpose of this paper is to estimate total emission during idling of vehicles and validate emission results from real-world data.

Motor Vehicle Emission Simulator (MOVES)2010b emission model is customised for developing country like India and a case study of the Ashram intersection in Delhi has been selected in order to measure the emissions of vehicles during idling.

Results show that 3.997 mg/m3 of hydrocarbon, 1.82 mg/m3 of NOx and 17.688 mg/m3 of carbon monoxide is emitted from the cars, trucks and buses, respectively, at Ashram intersection in one day. As there are 600 intersections throughout Delhi, a total of 2,398.055 mg/m3 of hydrocarbon, 1,087.068 mg/m3 of NOx and 10,612.612 mg/m3 of carbon monoxide is emitted from cars, trucks and buses in a day in all of Delhi.

Knowledge of idling emission and fuel loss is very little for Indian traffic condition during delays.

The first approach mainly aims at measurement of SPM, SO2 and NO2 from different sources in the Gwalior region and the second and third approach aims at the quantification of water and noise quality of the city of Gwalior. The purpose of this paper is to discuss these approaches.

The water analysis was carried out by the standard methods of APHA, 2005 and the air and noise analysis were carried out by the standard procedures of CPCB, New Delhi and published work earlier respectively.

The water quality in the city was well within the standards, however, the noise and air quality in the city was above the standards set by CPCB, New Delhi.

This is the first approach in the city of Gwalior that related air pollution, water pollution and noise pollution to acute and chronic illnesses amongst all age groups. This will lead to the development of a sustainable city, while working to transform the city of Gwalior into a sustainable city.

Liquefied petroleum gas (LPG) transportation risks depend on aspects such as the total length of the trip and population density along the route. Choosing to deliver the product on non-busy days and reducing distances travelled may help to reduce these risks and lower the level of air pollution generated by the transportation trucks. The purpose of this paper is to reduce LPG delivery impact.

A three-stage methodology is proposed. First, rules are created in order to choose which clients have to be visited each day to avoid deliveries in downtown areas during business days. Second, an Iterated Local Search (ILS) metaheuristic is proposed for the capacitated p-median problem to group the chosen customers. Finally, another ILS is proposed to solve the Travelling Salesman Problem, for each truck to follow a better route while visiting its customers.

The methodology resulted in a 24.8 per cent reduction in distances travelled, representing an annual reduction of 32,716 kg in CO₂ emissions. The average amount of product sold per kilometre travelled improved by 72 per cent.

The literature shows a clear need for companies to consider sustainability in their daily decisions. However, especially in developing countries, there is a fear that protecting the environment may cost money. This main contribution of this paper is that it presents a real solution, serving as a guide for companies to improve their transportation system, resulting in environmental and economic benefits.

It is recognised that environmental air pollution is one of the global problems and is a common problem for both developing as well as developed countries. In the era of globalisation, it is the most important global environmental issue. In general, urban air quality is becoming vulnerable especially in the developing countries due to adopting various developmental schemes. Air pollution problem in Kolkata, capital city of West Bengal, is under serious for a long day. As per guidelines of World Health Organization, for residential areas, air pollution level in Kolkata is considerably higher than the standard enumerated. There are several types of air pollutants which are continuously exposing the air of Kolkata. West Bengal pollution control board (WBPCB) has been monitoring ambient air quality (AAQ) for the parameters viz. suspected particulate matters (SPM), respiratory particulate matters (RPM), sulphur dioxide (SO₂), nitrogen dioxide (NO₂) and lead (Pb) in Kolkata throughout the years. Present study has been designed to determine the vertical floor-wise air quality status of the city of Kolkata and the seasonal variation of the pollutants over the consecutive years from 2011 to 2017. It is demonstrated that the air pollution is the highest in the winter due to dry weather, second is festive season followed by winter due to heavy movement of vehicles and pedestrians for festival shoppings as well as pandel hoppings and then next is summer. But coming to the point of rainy season, this is the lowest due to wetted air or wind of monsoon. This chapter attempts to understand the long-run trend of air pollution as the periodical average value suggests.

Contamination of the environment by heavy metals is a phenomenon of global importance today. When present in high concentrations in the environment, heavy metals may enter the food chain from soils and result in health hazards. Accumulation in street dust is one major way through which heavy metals may find their way into soils and subsequently living tissues of plants, animals and human beings. In this paper, the magnitude and sources of some heavy metals (Cu, Mn, Fe, Cd, Pb and Zn) in street dust samples in and around Gwagwalada, Nigeria, were assessed.

Street dust samples were collected from 12 sites with and without varying levels of human activities (blacksmithing, motor repair works, metal working and fabrication, vehicular traffic and residential development) in the area and analysed by atomic absorption spectrophotometry to determine the magnitude and sources of accumulation of the above heavy metals in street dust in the study area.

The mean concentrations were found to be 210, 79, 97, 3.9, 120 and 96 μg g⁻¹ respectively, for Pb, Zn, Cu, Cd, Fe and Mn across the various sampling sites. Samples collected from sites with human activities were found to contain concentrations of the metals that are generally higher than those in background areas (without human activities). However, metal working and fabrication, and motor repair works were found to have a stronger influence on the accumulation of the metals in the dust samples than vehicular traffic.

The results indicate that, contrary to what is expected, based on the observations made in several areas by many researchers elsewhere, metal working and fabrication, and motor repair works have a stronger influence on the accumulation of the metals in the dust samples than vehicular traffic in the study area.

Provides information on heavy metal contamination of the environment in an area of Nigeria.

Automobiles have always been a major cause of air pollution. The vehicular emission contains several harmful pollutants that affect the surroundings and living beings. Mild CO exposure leads to headaches or unconsciousness. CO is also responsible for the global warming as well. CO is mainly generated in the IC engine due to incomplete combustion of the fuel. The purpose of this paper is to implement a CO absorption mechanism inside the exhaust pipe of vehicle.

In this research work the single cylinder four stroke spark-ignition engine is intended to run on petroleum and petroleum blended fuels. A new post-combustion emission control device called cobalt scrubber is employed to reduce the emission of CO during idling which absorb and later release it under transient conditions.

The emission of CO when the engine runs at petroleum is reduced from 6.24 to 3.02 per cent. Methanol 40 per cent+petrol 60 per cent gives a better emission result of 0.98 per cent of CO emission. So, the authors can implement the cobalt scrubber in automobiles to avoid CO emission during idling.

The scrubber clearly overcomes the drawbacks of the existing control techniques. The cobalt scrubber is a cheap, non-radioactive. It can be employed in any kind of vehicle irrespective of its engine.

The use of the scrubber design presented in this article, effectively reduces the emission of CO.