Papers by Faheem Ahmed malik
2022 7th International Conference on Environment Friendly Energies and Applications (EFEA)
Renewable and Sustainable Energy Reviews
Energies
The rise of the intelligent, local charging facilitation and environmentally friendly aspects of ... more The rise of the intelligent, local charging facilitation and environmentally friendly aspects of electric vehicles (EVs) has grabbed the attention of many end-users. However, there are still numerous challenges faced by researchers trying to put EVs into competition with internal combustion engine vehicles (ICEVs). The major challenge in EVs is quick recharging and the selection of an optimal charging station. In this paper, we present the most recent research on EV charging management systems and their role in smart cities. EV charging can be done either in parking mode or on-the-move mode. This review work is novel due to many factors, such as that it focuses on discussing centralized and distributed charging management techniques supported by a communication framework for the selection of an appropriate charging station (CS). Similarly, the selection of CS is evaluated on the basis of battery charging as well as battery swapping services. This review also covered plug-in charging...
Chartered Institute of Logistics and Transport, Jul 11, 2021
Infrastructure selection, design and planning play a pivotal role in creating a safe travel envir... more Infrastructure selection, design and planning play a pivotal role in creating a safe travel environment for road users, especially the vulnerable road user. In this work, it is aimed to develop a predictive intelligent safety model for the riskiest cyclist infrastructure, based upon the prevalent environment, traffic flow conditions, and specific users using the infrastructure; and also develop an understanding of how these factors affect safety alone and in combination with each other. The study area of Northumbria in the northeast of England is selected for investigation. A hybrid methodology is proposed: a) Crash data collection, b) Predictive model (deep learning), and c) Variable interaction model (deep learning variable importance and principal component analysis). A complex deep learning model with a neural network classifier, and backpropagation error function is used to model this complex and nonlinear relationship. An accurate model is developed with an average accuracy of 86%. Through variable interaction, it is found that critical variables affecting safety are the riders age, gender, environmental conditions, sudden change in the road hierarchy, and the traffic flow regime. It is found that the adverse environmental conditions and different traffic flow regimes complicate the cyclist interactions, having varied safety implications for different infrastructure types. The traffic flow regime poses a varying level of risk to the cyclist to which riders belonging to different genders react differently. The traffic flow conditions and the infrastructure variables alone are critical variables affecting the safety of cyclists. The study results help develop a better understanding of risk variation for different infrastructure types and predict the riskiest infrastructure type. It will contribute towards better planning of the cyclist infrastructure and thus contribute towards the development of a sustainable transportation system
53rd Annual Universities Transport Studies Group Conference, Jul 7, 2021
The transportation system's present need is to increase the cycling mode share, which can onl... more The transportation system's present need is to increase the cycling mode share, which can only be achieved by improving its safety. This paper aims to develop a predictive intelligent safety modelling framework for the riskiest cyclist infrastructure based upon the prevalent environment, traffic flow conditions, and specific users. The northeast of England is selected as a case study. A hybrid methodological framework using statistical and machine learning is proposed: a) Crash data collection, b) Predictive model and c) Governing variable analysis model. Firstly, the details of each crash in the study area from 2005-2014 are evaluated. After data cleaning, a base input crash file is developed, used as an input in the data learning model to develop the predictive models. Finally, governing variable analysis is performed to understand their impact on safety. Two accurate infrastructure predictive models are developed with a mean accuracy of 94. Based on the results obtained, we show that the most critical variables affecting an infrastructure's safety are riders age, gender, environmental conditions, sudden change in the road hierarchy, and the traffic flow regime. It is found that the adverse environmental conditions and different traffic flow regimes complicate the cyclist interactions, having varied safety implications for different infrastructure types. The riskiest environmental conditions are compounded by the prevalent traffic flow regime and present a significant safety hazard for the cyclist. The traffic flow regime poses a varying level of risk to the cyclist to which riders belonging to different genders react differently. The study results help develop a better understanding of risk variation for different infrastructure types and predict the riskiest infrastructure type. It is expected that this study's results will contribute towards better planning of the cyclist infrastructure
Applied Sciences
This paper develops an intelligent real-time learning framework for the last-mile delivery of mob... more This paper develops an intelligent real-time learning framework for the last-mile delivery of mobility as a service in city planning, based upon safe infrastructure use. Through a hybrid approach integrating statistics and supervised machine learning techniques, knowledge-driven solutions based on the specific user rather than generalized safe mobility practices are suggested. One of the most important aspects influencing transport mode and route selection, and safe infrastructure usage, i.e., the age of the user, is simulated. This is because this variable has been described in the literature as a significant variable. Nonetheless, few works deal with such modelling or the learning system. The learning system was applied in the Northumbria region of England’s northeast as a case study. It comprised four building toolkits: (a) Input toolkit, (b) Safety Predictive toolkit, (c) Variable causation toolkit, and (d) Route choice toolkit. An accurate dynamic road safety model and understa...
International Journal of Advance Research in Science and Engineering, Mar 11, 2018
It's high time to shift from Conventional Planning to Compressive and Multi Modal Planning. The p... more It's high time to shift from Conventional Planning to Compressive and Multi Modal Planning. The present paradigm shift in Europe to focus on mobility as a service has to be acknowledged and incorporated in the Transportation system of developing country such as India. The travel has to be now smarter and sustainable. All the three pillars of sustainability i.e. economic, social and environmental have to be equally carried forward. Proper planning or design is the one which always takes into account the needs of people and also the environment associated with it. The sole purpose of a Central business district is economic activity and any measure should depict this. The paper looks at the transportation system of the Kashmir valley in depth in relation with the central business district. Modal share and variation of Mass transit in the morning and evening peak hour is determined and studied. Based upon the analysis and keeping in view the ageing population as well as needs of disabled a new smarter and sustainable transport is designed for the Kashmir valley having its own bespoke bus service. The bus service is then designed for headway, seating capacity as well as field and management staff. This paper emphasizes that public transport is the only solution to the various transportation problems and their allied effects such as Environmental Impact, Social Inclusion, Old aged population, etc.
Swiss Mobility Conferene, Oct 29, 2020
International Journal of Engineering Development and Research, Apr 1, 2017
—Road accidents cannot be stopped despite providing the best possible roads and intersections, ho... more —Road accidents cannot be stopped despite providing the best possible roads and intersections, however there are ways to reduce the impact of road accidents on road-users and the vehicles plying on the road.The incidence of accidental deaths has shown an increasing trend during the period 2005-2015 with an increase of 54.3% in the year 2015 as compared to 2005 increase in the rate of accidental deaths during the same period was 25.5%.A total of 4,00,517 accidental deaths were reported in the country during 2015 (5,535 more than such deaths reported in 2014) showing an increase of 1.4% as compared to 2014. However, the average rate of Accidental Deaths has remained same 32.6 in 2014 and 2015.In the stretches we studied the road accidents are increasing rapidly .We studied accidental records of various police-stations ,identified the black-spots of accidents and then analyzed the geometric features of those spots whose observation is given in this paper .The identification of such points provides us ease to work on some section of road which is most prone to accidents .We analyzed the geometric deficiencies and they recommended ways to reduce their affects. The findings indicated that large radii right-turn curves were more dangerous than left curves, in particular, during lane changing maneuvers. However sharper curves are more dangerous in both left and right curves. Moreover, motorway carriageways with no or limited shoulders have the highest CR when compared to other carriageway width. Proper traffic guidance and control system to guide road users ensuring safe movement of vehicles has been recommended and some of the facilities such as pedestrian crossings and median openings, acceleration and deceleration lanes were redesigned in order to improve the safety of the road and minimize the accidents. I. INTRODUCTION The problem of accident is a very acute in highway transportation due to complex flow pattern of vehicular traffic, presence of mixed traffic along with pedestrians. Accidents are multifactor and random. Traffic accident leads to loss of life and property. Thus it is imperative that traffic engineers take the big responsibility of providing safe traffic movements to the road users and ensure their safety. The aim of zero causality is although difficult even considered impossible by some, but with the latest technologies and advancement in the field it is possible to reduce this in fractions per 100,000 population. This will require a significant investment. By suitable traffic engineering and management the accident rate can be reduced with scare resources. For this reason systematic study of traffic accidents are required to be carried out. Proper investigation of the cause of accident will help to propose preventive measures in terms of design and control.. A primary source of highway safety data is crash data collected by police officers at the scene. Police are unique in their ability to collect on scene crash data shortly after the crash occurs, as well as the transient data that may erode (i.e., tyre marks) or be removed from the scene. Although police are in a unique position to collect crash data, data collection is not their only responsibility. Their primary on scene responsibilities includes securing the crash site, caring for injured persons, and re-establishing traffic flow. Therefore, on scene data collection systems must consider the officer's needs when implementing new technologies. Once a series of data collected, accident sites are selected for possible treatment and before a decision can be made which sites will be treated and the type of improvement work necessary, further information is usually needed. This extra data, obtained through site visits, should relate to both the site accident data and to the other factors that might help to determine what the problem at the site is. On site visit, data should include details of the road, its environment, vehicle features and road user
2021 6th International Symposium on Environment-Friendly Energies and Applications (EFEA), 2021
Future Internet, 2021
To create a safe bicycle infrastructure system, this article develops an intelligent embedded lea... more To create a safe bicycle infrastructure system, this article develops an intelligent embedded learning system using a combination of deep neural networks. The learning system is used as a case study in the Northumbria region in England’s northeast. It is made up of three components: (a) input data unit, (b) knowledge processing unit, and (c) output unit. It is demonstrated that various infrastructure characteristics influence bikers’ safe interactions, which is used to estimate the riskiest age and gender rider groups. Two accurate prediction models are built, with a male accuracy of 88 per cent and a female accuracy of 95 per cent. The findings concluded that different infrastructures pose varying levels of risk to users of different ages and genders. Certain aspects of the infrastructure are hazardous to all bikers. However, the cyclist’s characteristics determine the level of risk that any infrastructure feature presents. Following validation, the built learning system is interop...
i-manager’s Journal on Future Engineering and Technology, 2017
In the early 20 century, people shifted from horse drawn vehicles to motorized vehicles. In the m... more In the early 20 century, people shifted from horse drawn vehicles to motorized vehicles. In the mid 21 century, we will be changing to Autonomous Vehicles (AV). There are certain perceptions about the safety, fuel efficiency, and the sustainability of autonomous vehicles. To justify huge investment that is required for the same and the required behavior driver change, sustainability and fuel efficiency are to be evaluated. This article looks at these challenges that Autonomous vehicles are facing and it is essential to evaluate them properly. It is also essential to evaluate the benefits of AVs in terms of these challenges. In this present world of Information and Communication Technology (ICT), any development in the developed countries has direct impact on the developing countries, even the opinions of the people. AVs present a lot of challenges and opportunities for developing countries such as India.
International Journal of Research in Engineering and Technology, 2016
International Journal of Engineering Research and, 2016
Neural Comput. Appl., 2021
2020 3rd International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM)
2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)
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Papers by Faheem Ahmed malik