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Driving cycle is an essential requirement to evaluate the exhaust emissions of various types of vehicles on the chassis dynamometer test. This study presents a real world comparison of the driving cycles of Edinburgh motorcycles in two world cities; Edinburgh in Scotland and Delhi in India. The two driving cycles (EMDC & DMDC) driving cycle (EMDC) that were was developed through the analysis of experimental data. This data was collected from trips on a number of routes in each city. In Edinburgh, five different routes between the home addresses in the surrounding areas and place of work at Edinburgh Napier University in Edinburgh were selected. In Delhi data were collected in East Delhi (Geeta Calony) to Central Delhi (Raisena Road). The data collected data was divided into two categories of urban and rural roads in the case of Edinburgh while it was only the urban route in Delhi.. Forty four trips were made on the five designated routes in both urban and rural areas and 12 trips were made in Delhi. The aims of the study were to assess the various parameters (i.e. motorcycle speed, cruise, accelerations and decelerations and percentage time spent in idling) and their statistical validity over total trip lengths for producing a real world EMDC in each of the two cities. The results show that EMDC in Edinburgh, the EMDC has a cycle length of 770 and 656 seconds for urban and rural trips, respectively, which was found more than ECE cycle length. Time spent in acceleration and deceleration modes were found to be significantly higher than any other driving cycle reported to date for motorcycles, reflecting a typical characteristic of the driving cycle in Edinburgh; this was presumably due to diverse driving conditions of motorcycles in the city. In Delhi on the other hand, the DMDC has a cycle length of 847.5 seconds for the urban trips, which higher than that of the EMDC length. The overall percentage time spent in acceleration in Delhi was higher than that of Edinburgh while the time spent in deceleration was lower in Delhi. The overall average speed in the case of Delhi was slightly higher than that of Edinburgh.

This paper explains the modelling of emission in real world onboard measurement under local driving condition for engine size 1000cc and 600cc for motorcycles in Edinburgh. Impact of instantaneous speed, acceleration on emission have been investigated on the air quality management area (AQMA) in Edinburgh. Emission directly observed from the analyser have been converted from ppm and % unit into gm/sec by using the fuel consumption estimates and carbon mass balance equation Finally average emission factors for CO, HC, and NOX along the corridor have been estimated on time based (gm per second) and distance based (gm/km). Since emissions are primarily affected by speed, therefore a correlation between emission factors and speed have been developed. Onboard emission measurements have advantages to collect the emission data into different driving cycle i.e. vehicle operating modes (idling cruise, acceleration, and deceleration). This has been further investigated by developing the relationship between time spent in these modes and emission. These types of models are suitable, in sustainable development of transportation system, traffic demand management, signal coordination, and environment friendly application for Intelligent Transportation System (ITS).

The purpose of this paper is an investigation of driving behaviour and impacts on emissions at two traffic junctions.

A signalised junction and a roundabout in Edinburgh have been selected. An instrumented car has been used and a GPS to monitor driving activities as well as a gas analyser to monitor the vehicle's emissions during the evening peak hour.

Vehicles’ emissions are affected by a large number of factors including characteristics of the engine and the vehicle, characteristics of the road, the fuel used and driving behaviour.

Different methods and approaches have been used to investigate the behaviour of vehicles at various traffic junctions. The main aim, however, has mostly been to reduce travel times as well as traffic delays and queues at the junction. Consideration of environmental impacts has also been made, but often as a by‐product of congestion reduction and not as a main aim.

The purpose of this paper is to investigate road users attitudes and preferences towards accidents and safety measures in Kuwait. The paper also quantifies impacts of user’s attitudes on the perception of being safe while using roads in Kuwait.

In this paper, a review of relevant literature, has been carried out, then a questionnaire has been piloted and implemented to collect data. The main survey was carried out in 2013. A total of 700 distributed questionnaires resulted in the return of 427 completed questionnaires.

Results show that socio economic, attitudes and work commitment factors, all contribute to the behaviour and attitudes of road users in Kuwait.

Data are limited due to time constraints.

There is very little knowledge of modelling and analysing factors which affect drivers’ behaviour towards safety in Kuwait.

Heterogeneous traffic in Delhi is complex to understand due its typical composition, speed acceleration, cruising, deceleration and idling activity in flow. To arrive at accurate emission factor estimates and implement proper traffic demand management there is need to understand microscopic vehicle operation activity. The vehicular operations are easily quantified by understanding driving cycle of the particular vehicle in real world driving conditions. The purpose of this paper is to present a study on the understanding of driving conditions in India that are heterogeneous in nature.

To understand the heterogeneity, the driving cycle data were collected using GPS on different types of both motorised and non‐motorized modes of transport, e.g. car, auto rickshaw, bus, motorcycle and cycle rickshaw and bicycle on different traffic corridors in Delhi.

Research findings show that driving cycles differ for different types of vehicles. Therefore, each mode should be encouraged based on their average speed‐time sequence in any traffic mix. The real‐world driving cycle will be also useful for the understanding of fuel consumption and emissions in real‐world scenarios, in order to control vehicle emissions properly, achieve fuel efficiency and to obtain a more sustainable transport system.

This type of research has not been carried out previously in any Indian city.

The purpose of this study was to investigate and model travel behaviour and attitudes for households in Saudi Arabia.

A household survey was used to collect data on household travel patterns and socio‐economic variables in the city of Tabuk in Saudi Arabia. The population of Tabuk city is just under 500,000 people, of which approximately 83 per cent are Saudi nationals and 17 per cent non‐Saudi nationals. The average household size is about six persons.

Although there have been a large number of research investigations into travel behaviour in Western countries, there is a huge lack of studies in this area in some countries, such as Saudi Arabia. The specific characteristics of socio‐economic patterns as well as travel behaviour attitudes in this country make it a very interesting and unique area, which has its own characteristics and patterns, hence the need for the research.

Although there have been a large number of research investigations into travel behaviour in the Western countries, there is a huge lack of studies in this area in some countries such as Saudi Arabia. The specific characteristics of socio‐economic patterns as well as travel behaviour attitudes in this country make it a very interesting and unique area which has its own characteristics and patterns, hence the need for the 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.

Under deteriorating conditions of travelling in urban areas, especially city centers, prioritization of public transport is one of the main ways of its enhancing. In developed countries sophisticated control traffic systems are being implemented while in developing countries such solutions due to implementation cost are very rare. The purpose of this paper is to assess public transport operational effectiveness under diverse operational schemes present in two similar in size and traffic characteristics cities. The assessment is based on average journey times and speeds during peak and off peak hours.

The methodology includes measurements and estimates of bus rides through in-field measurements in Edinburgh, UK and in Bialystok, Poland. In-field evaluations have been conducted using average speed and travel times. The data were collected by utilizing a portable GPS data logger that allowed monitoring and recording bus position along tested streets in one second intervals. Traffic optimization in Edinburgh is provided by separated bus lanes and control urban traffic system while in Bialystok the only prioritization is supported by bus lanes. The research areas in Edinburgh and in Bialystok covered streets in city centers and adjacent districts.

The findings show large operational potential in developing separated bus lanes in city centers of developing countries when due to cost they cannot afford implementing advanced ITS solutions. The introduction of bus lanes should be proceeded even at the expense of individual users. It has been found that well developed road network in city center with separated bus lanes can provide operating speed at comparable levels to speed of buses operating along lower volume corridors.

The comparison of bus lanes working under different traffic management conditions was carried out. Conducted analyses showed great potential of proper planning strategy of road network development toward the improvement of public transport performance.

The purpose of this paper is to propose a framework methodology for the assessment and improving accident data collection and analysis in the Kingdom of Saudi Arabia (KSA).

A proposed framework methodology for accident reduction by an integrated process which includes a risk identification, assessment and reduction process is proposed for Tabuk city in KSA.

Tabuk city has a high accident rate. The proposed framework can improve the process of accident data collection and analysis and identify hot spot locations and accident severity.

It has been estimated that the annual cost of traffic accidents in Saudi Arabia exceeds six billion US dollars, in addition to other social, health and economic impacts, such as disability, rehabilitation and unemployment due to traffic accident injuries. There are not many studies, if any, in Tabuk in KSA on the investigation and development of a framework for accident reduction.

There is gap in literature on understanding of the issues of following headway behaviour of the driver and a lack of sufficient data in different traffic conditions. The purpose of this paper is to find the effects of type of lead vehicle on following headway in mixed traffic condition in India on different category of roads and flow.

Real-world headway data were collected through video and extracted. Data were analysed using tools and statically approach was adopted to present the results in detail.

Results shows the impact of type of lead vehicle on driver following time headway behaviour under different level of traffic and types of road characteristics. It was found that driver following behaviour is affected by the type of lead vehicle. It also shows that drivers are inconsistent in their choice of headway.

This research has special strategic study area of India in typical two cities Silchar and Shillong of northeast region of India. The traffic characteristic and composition is quite different as compared to other cities of India. Therefore the study results cannot be generalized for whole India.

The result of the study has focused on impact of type of lead vehicle on following behaviour. This can be useful to safety reduction and changing the driver behaviour through education and display of information. However, the real application of this result is to be implemented by local transport and road managing authority to reduce accidents and increase safety of drivers.

In mixed traffic conditions, the impact of type of lead vehicle on following behaviour affects the safety of drivers and the accounting for such behaviour is never been explored in mixed traffic condition. If the study is implemented, it can be useful to simulation modeller and intelligent transport systems (ITS) to design and operate many in-vehicle systems for smooth traffic processes.