
Ansar-Ul-Haque YasarHasselt University · Transportation Research Institute (IMOB)
Ansar-Ul-Haque Yasar
PhD in Engineering (Computer Science)
About
193
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Introduction
I am currently working on research around Intelligent Transport Systems including Drones, Autonomous Vehicles, Agent-based Modeling and Smart Mobility applications.
Skills and Expertise
Publications
Publications (193)
The convergence of modern technology and supply chain operational dynamics has shaped the fabric of today's freight transportation practice and made the role of electric vehicles (EVs) profoundly significant in regular use in business operations. In addition to the expanding prevalence of EVs and charging infrastructures for medium and heavy-duty s...
The traffic in developing countries presents its own specificity, notably due to the heterogeneous traffic and a
weak-lane discipline. This leads to differences in driver behavior between these countries and developed countries.
Knowing that the analysis of the drivers from developed countries leads the design of the majority of driver models,
it is not...
The increasing popularity of unmanned aerial vehicles (UAVs), commonly known as drones, in various fields is primarily due to their agility, quick deployment, flexibility, and excellent mobility. Particularly, the Internet of Drones (IoD)—a networked UAV system—has gained broad-spectrum attention for its potential applications. However, threat-pron...
Recently, Internet of Drones (IoD) has garnered significant attention due to its widespread applications. However, deploying IoD for area coverage poses numerous limitations and challenges. These include interference between neighboring drones, the need for directional antennas, and altitude restrictions for drones. These challenges necessitate the...
With the aim to enhance prediction accuracy for nonlinear time series, this paper put forward an improved deep
Echo State Network based on reservoir states reconstruction driven by a Self-Normalizing Activation (SNA) function
as the replacement for the traditional Hyperbolic tangent activation function to reduce the model’s sensitivity to
hyper-par...
Traditional supply chains deal with uncertainty, cost, complexity, and vulnerability problems. In order to overcome these problems, supply chain operations need to be innovative in business process management. Establishing a large-scale smart infrastructure to merge data, information, products, physical objects, and all supply chain processes needs...
Unmanned aerial vehicles (UAVs), commonly known as drones, have drawn significant consideration thanks to their agility, mobility, and flexibility features. They play a crucial role in modern reconnaissance, inspection, intelligence, and surveillance missions. Coverage path planning (CPP) which is one of the crucial aspects that determines an intel...
Vehicle ad-hoc networks (VANETs) have gradually emerged to enhance transportation information, entertainment, safety, and other services. However, such infrastructures have certain limitations, causing intermittent network disconnection. Further, in urban areas, terrain heights act as obstacles and hinder or attenuate transmitted signals. In this s...
Autonomous vehicles (AVs) have been a rapidly emerging phenomenon in recent years, with some automated features already available in vehicles. AVs are expected to potentially revolutionize the existing inefficient state of urban transportation and be a step closer to environmental sustainability. This study focuses on simulation modeling in assessi...
In recent years, autonomous vehicles (AVs), connected vehicles (CVs) and all relative technology have been in the spotlight, being intensively researched and developed. There is high anticipation on the benefits of automation and the overall reform it will bring to the transport sector, with some optimistic estimates considering it as a reality wit...
This paper describes the design, implementation, and testing of an ITS-G5 prototype Road hazard Signaling (RHS) system that is inspired by the concept of crowdsourcing. Our approach enables drivers to interact with a touchscreen onboard interface to send ITS-G5 decentralized environmental notification messages (DENM) in order to warn nearby vehicle...
In this paper, we address the problem of managing driving behaviours within the context of Connected Vehicles (CVs). In contrast with the existing related solutions, we are proposing a Cyber Physical System (CPS) architecture that ultimately enables the continuous acquisition and processing of driving data and then the assessment and classification...
Connected and autonomous vehicles (CAV) have recently attracted policymakers, manufacturers, and customers' attention. Despite their numerous benefits, CAVs still have to overcome many challenges related to the implementation and market penetration. When not dominated by financial constraints, the CAV adoption heavily depends on how policymakers an...
Traffic management challenges in peak seasons for popular destinations such as Madinah city have accelerated the need for and introduction of autonomous vehicles and Vehicular ad hoc networks (VANETs) to assist in communication and alleviation of traffic congestions. The primary goal of this study is to evaluate the performance of communication rou...
Approximating viewership of a program is essential for broadcast networks and cable (TNT, AMC, and HBO) as they profit by selling advertising space during programming (airing of the show). With the advent and increased popularity of streaming services such as Netflix and Amazon Prime Video, the model for providing television content to viewers has...
Traffic accidents are continuously rising in many countries all over the world. Violation of road safety regulations and traffic laws is one of the major reasons for this increasing trend. Existing Intelligent Transportation Systems (ITS) to date are accurately enforcing safe municipal speed limits using enforcement technology solutions. The system...
The users of cloud span to several types of tasks for various purposes, such as users who need to accomplish tasks that utilize cloud based on as Infrastructure as a Service. These tasks are usually of high latency. There are some tasks that require immediate response. That is, ultra-low latency tasks like IoT device requirements. It is not feasibl...
Advanced machine-learning techniques are recognized as a powerful support tool for routing optimization in node networks. Moreover, the capabilities of cloud computing have grown immensely with advances in hardware. Real-time machine learning is enabled by better connectivity, processing power, and memory units. This paper proposes and evaluates th...
Automated vehicle (AV) technologies are fast, new, and have been introduced to create transport systems that enhance road safety and mobility. However, evaluating their safety has been difficult due to a lack of AV exposure data. This paper investigates the safety impact of AVs using a simulation-based surrogate safety-measure approach. Three measu...
Fog computing (FC) is a networking paradigm where wireless devices known as fog nodes are placed at the edge of the network (close to the Internet of Things (IoT) devices). Fog nodes provide services in lieu of the cloud. Thus, improving the performance of the network and making it attractive to social media-based systems. Security issues are one o...
Cloud computing is an emerging technology used in many applications such as data analysis, storage, and Internet of Things (IoT). Due to the increasing number of users in the cloud and the IoT devices that are being integrated with the cloud, the amount of data generated by these users and these devices is increasing ceaselessly. Managing this data...
Routing optimization using machine learning has been receiving a lot of attention recently. Additionally, cloud computing is evolving exponentially in processing power and memory units. This paper proposes a routing optimization approach for a Cloud ACKnowledgement Scheme using machine learning techniques. Our proposed approach is based on syntheti...
The World Health Organization (WHO) reported that globally 3.7 million deaths were attributable to ambient air pollution (AAP) in 2012. Traffic congestion is one of the significant sources of air pollutants Intelligent Transportation Systems (ITS) are advanced technologies that have been used widely in large cities. They have a potential impact on...
Visual analytics science develops principles and methods for efficient human–computer collaboration in solving complex problems. Visual and interactive techniques are used to create conditions in which human analysts can effectively utilize their unique capabilities: the power of seeing, interpreting, linking, and reasoning. Visual analytics resear...
Internet of Drones (IoD) formation offers a wide variety of applications in military and civilian environments. In highly congested terrain, dynamic and static obstacles have a critical impact on IoD performance. One of the critical challenges in IoD missions is avoiding obstacles for successfully and safely completing their tasks. The limited flig...
Next-generation intelligent transportation systems are based on the acquisition of ambient data that influence traffic flow and safety. Among these, is the ambient visibility range whose estimation, in the presence of fog, is extremely useful for next-generation intelligent transportation systems. However, existing camera-based approaches are based...
Despite of their increasing popularity, Internet of Things (IoT) platforms are still suffering from major security problems, particularly during communications between the IoT devices. Indeed, these devices are commonly prone to malicious attacks and require prior mutual authentication to guarantee the confidentiality and security of data being sha...
Investigating travel time distribution and associated variability is important for a variety of transport planning, traffic management and control projects. Studies that investigated travel time distribution tend to be limited to explore changes in characteristics of distribution with respect to space and time-of-day. Given the availability of big...
Visitor mobility in protected areas is often a challenge as manual map reading and finding a route consume the time. This paper presents a digital tool that provides valuable information for both the visitors and the managers of protected areas. The app provides assistance to users to generate, access, and record hiking routes within the protected...
As modern cities expand and develop, the resultant increase in population density gives rise to the need for smart solutions to cope with the demands applied to the infrastructure of the city. In this paper, we investigate the shortcomings of traffic policing and emergency response handling systems; propose an intelligent, autonomous UAV-enabled so...
Enforcement of traffic rules and regulations involves a wide range of complex tasks, many of which demand the use of modern technologies. variable speed limits (VSL) control is to change the current speed limit according to the current traffic situation based on the observed traffic conditions. The aim of this study is to provide a simulation-based...
Non-recurrent congestion, which is mainly due to traffic incidents, may seriously impact the performance and operation of a traffic system. Reacting quickly and in a uniform and structured way is vital. In particular, choosing the appropriate response strategy with only a short delay may mitigate the impact of incidents, improve traffic efficiency,...
Generally during the execution of the daily schedule, there is a mismatch between the plan and the reality. Faced with unexpected events, which affect the schedule, individuals need to reschedule their decisions. In such situations, time is an important factor when making a rescheduling decision, as people feel time pressure because of the time thr...
Recently, simulation models have been widely used around the world to evaluate the performance of different traffic facilities and management strategies for efficient and sustainable transportation systems. One of the keys factors for ensuring the reliability of the models in reflecting local conditions is the calibration and validation of microsim...
Drones flights have been investigated widely. In the presence of high density and complex missions, collision avoidance among swarm of drones and with environment obstacles becomes a challenging task and indispensable. This paper aims to enhance the optimality and rapidity of three dimensional IoD path generation by improving the particle swarm opt...
Cloud computing is attracting a lot of traffic on the Internet. Due to the distributed nature of the ad hoc networks, there is no clear path for the communication between nodes. Additionally, there is no centralized or master node to guide the rest of the nodes in the distributed networks. Since the networks are continually expanding, it is vital t...
The inflow caused by tourists in peak seasons exerts an uncontrollable pressure on the existing infrastructure. The Ayubia National Park in Pakistan faces traffic delays and capacity restraints on the connecting roads in peak season. The study focuses on the formulation of critical strategies by deploying amendments in the transport network. The me...
Blockchains have emerged over time as a reliable and secure way to record transactions in an immutable manner in a wide range of application domains. However, current related solutions are not yet capable of appropriately checking the authenticity of data when their volumes are huge. They are not also capable of updating Blockchain data blocks and...
Street vending is an essential part of the urban informal economy in developing countries. Related to rapid urbanization and socio-economic challenges, studies have proposed comprehensive street design and management that accommodate sidewalk vendors efficiently. To this end, this paper evaluated the effect of three alternatives to integrate sidewa...
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Recommender systems are used to suggest items that are useful to users. The recommendations can be surprising and may be categorized as serendipitous recommendations. One of the limitations with serendipitous recommendations is that the user interface of such a recommender system rarely supports t...
The shared transportation systems of many countries in the Middle East and Arab world are commonly challenged by sociocultural constraints that need to be satisfied to attract people to ridesharing. As an example, in this article, we address the chartered vanpooling problem, which relates to a ridesharing form widely used in many of these countries...
This paper proposes a modified architecture of the Long-Term Evolution (LTE) mobile network to provide services for the Internet of Things (IoT). This is achieved by allocating a narrow bandwidth and transferring the scheduling functions from the eNodeB base station to an NB-IoT controller. A method for allocating uplink and downlink resources of t...
Generally during the execution of the daily schedule, there is a mismatch between the plan and the reality. Faced with unexpected events, which affect the schedule, individuals need to reschedule their decisions. In such situations, time is an important factor when making a rescheduling decision, as people feel time pressure because of the time thr...
Recently, we have witnessed unprecedented use of cloud computing and its services. It is influencing the way software is built, as well as company’ resources such as servers, workstations or generally hardware are used. This paper aims to examine the benefits of cloud usage to support real-time service systems, using the Salesforce platform. First,...
Road geometric design standards provide various possibilities for merging freeways with a decreasing number of lanes. In this study, an alternative design (i.e. taper design) is investigated and compared with the standard design under three different heavy vehicle compositions to understand driving performance in relation to the flow of traffic. Ta...
The immaturity of fog abatement technologies for highway usage has led to growing interest towards developing intelligent transportation systems that are capable of estimating meteorological visibility distance under foggy weather conditions. This capability is crucial to support next-generation cooperative situational awareness and collision avoid...
Vehicular Ad hoc NETworking (VANET) enables a vehicle to connect with other vehicles and the surrounding devices such as Road Side Units (RSUs) and base-stations through a wireless network. There are challenging issues within VANET environment caused by the high demand of Internet access. These issues include an increase in the vehicle traffic and...
The rapid changes in textile and clothing industry's operational environment in which apparel businesses are collaborating with their suppliers and customers have recognized interoperability of information systems as an important factor. The need to address this challenge becomes vital in the context of new paradigms such as the Internet of Things...
The rapid development of the Internet of Things (IoT) and the huge growth of valuable data produced by decentralising information processing along global apparel supply chain have led to a persuasive appeal for a semantic approach to integrating distributed data facilities in the field of self-determining collaborating logistics services. This pape...
Variable Speed Limit (VSL) systems are used to improve the traffic conditions on road by adjusting the speed limits according to current traffic situations. The variable speed limit system usually comprises of stationary detectors to estimate the traffic condition and dynamic variable message signs at predefined locations for the application of new...
An exposed node problem in a network is observed since the beginning of the decentralization of networks. Even though this problem is consistent from a long time, a little-known research is noticed to address this problem. Consequently, it is important to develop monitoring systems that are responsible for identifying and analyzing faulty nodes and...
The evolution of wide variety of applications that are used by vehicular users includes a lot of data hungry applications. This increases the workload on the cellular networks, thereby delivering poor service to the users. We can overcome this problem by sharing this workload with open wireless networks. As such, this improves the Quality of Servic...
The growing number of IoT devices and the different computing and communication capabilities of IoT devices require an efficient offloading scheme. This offloading scheme need to consider the mobility of IoT devices and helps to intelligently select the optimal server for offloading. An efficient offloading scheme need to take in consideration impo...
Street vendors use sidewalks to display goods and services. The reduction of sidewalk space by sidewalk vending activity forces pedestrians to take evasive action by changing walking speed and/or direction. Based on previous qualitative studies pedestrian evasive movements are related to pedestrian level of service and sharing carriageways. The aim...
First and last-mile access to and from public transport stations/stops is a major problem for encouraging public transport use. Bicycle sharing schemes have shown potential to fill this gap. Consequently, railway operators in the Netherland and Germany have started their own bike sharing schemes. Majority of the studies examined the preferences for...
High mobility in ITS, especially V2V communication networks, allows increasing coverage and quick assistance to users and neighboring networks, but also degrades the performance of the entire system due to fluctuation in the wireless channel. How to obtain better QoS during multimedia transmission in V2V over future generation networks (i.e., edge...
In past years, 3D models of virtual worlds have been
used in several applications such as urban planning, simulation
and design. In the railway field, that we chose as a field of
application to illustrate our proposals in this article, simulation
makes sense because of the complexity involved and the risk
for personnel during upstream phases of val...
Wireless sensor networks (WSNs) are mainly data-driven networks adopted to improve the Internet of Things (IoT) in terms of data throughput, energy-efficiency and self-management. Improving the data lifespan of WSN impacts the performance of the IoT. Achieving data reliability in applications of WSNs deployed in harsh environments is challenging du...