Ivana Semanjski

Ghent University | UGhent · Department of industrial systems engineering and product design

As cities grow larger, they increasingly face problems caused by transport and traffic. Urban Air Mobility (UAM) offers a promising opportunity to mitigate road (surface) congestion by taking urban mobility to the third dimension – the airspace. However, making it safe, secure, green, quiet and accepted is still challenging. The EU-funded project A...

In recent decades, cities worldwide are increasingly adopting vehicle access policies and technologies to alleviate the negative externalities related to high car use in the urban built environments. As such, car-oriented infrastructures and mobility policies implemented post-World War II are giving way to sustainable mobility strategies that aim t...

The increase in traffic in cities world-wide has led to a need for better traffic management systems in urban networks. Despite the advances in technology for traffic data collection, the collected data are still suffering from significant issues, such as missing data, hence the need for data imputation methods. This paper explores the spatiotempor...

Traffic signal control is known to improve performance and to reduce congestion of urban networks in traffic management. As a control system, the traffic signal control regulates vehicles through traffic lights to produce traffic conditions with maximum output, queue lengths dispersion and less travel time. Max pressure control is a widely known ap...

Urban Air Mobility (UAM) is an aerial component of urban mobility system which integrates an emerging transport mode, Unmanned Aerial Vehicles (UAV), also known as drones, into multimodal urban mobility context. UAM has potential to bring new services related to both passengers and logistic/freight mobility (like passenger carrying air taxis or sma...

Knowledge about the spots where tourist activity is undertaken, including which segments from the tourist market visit them, is valuable information for tourist service managers. Nowadays, crowdsourced smartphones applications are used as part of tourist surveys looking for knowledge about the tourist in all phases of their journey. However, the re...

Global Navigation Satellite System (GNSS) meaconing and spoofing are being considered as the key threats to the Safety-of-Life (SoL) applications that mostly rely upon the use of open service (OS) signals without signal or data-level protection. While a number of pre and post correlation techniques have been proposed so far, possible utilization of...

The article describes an application of global positioning system (GPS) tracking data (floating bike data) for measuring delays for cyclists at signalized intersections. For selected intersections, we used trip data collected by smartphone tracking to calculate the average delay for cyclists by interpolation between GPS locations before and after t...

The vulnerability of the Global Navigation Satellite System (GNSS) open service signals to spoofing and meaconing poses a risk to the users of safety-of-life applications. This risk consists of using manipulated GNSS data for generating a position-velocity-timing solution without the user’s system being aware, resulting in presented hazardous misle...

This paper proposes an optimization framework for urban transportation networks’ (re-)design which explicitly takes into account the specific decision-making processes of ordinary users and logistic operators. Ordinary users are typically commuters whose travels consist of well-defined pairs of origin and destination points, while logistic operator...

Availability of the big data on human mobility raised a lot of expectations regarding the possibility to have a more detailed insights into daily and seasonal mobility patterns. However, this is not a trivial task and often noisy positioning data pose a great challenge among researchers and practitioners. In this paper, we tackle the detection of t...

The aim of this study is to find a suitable methodology for planning the locations of intermodal terminals in an urban transit context. The location planning approach, which has been developed and makes this possible, consists of three phases. The first phase is the making of the geographic information system (GIS) database which enables determinin...

Cities strongly rely on efficient urban logistics to ensure their attractiveness, quality of life, and economic development. In the same time, they strive to ensure livable and safe environments around its road network, where the increased presence of light and heavy goods vehicles raises questions of regarding safety and environmental impacts. Rec...

Improving urban mobility is crucial to the sustainable development of a city. Well-managed movement of individuals, goods, and services is essential to increase citizens’ welfare, not only by reducing travel times and congestion levels, but also by minimizing air pollution, noise, accidents, etc. To achieve the desired results, the objectives and s...

Understanding tourism related behavior and traveling patterns is an essential element of transportation system planning and tourism management at tourism destinations. Traditionally, tourism market segmentation is conducted to recognize tourist’s profiles for which personalized services can be provided. Today, the availability of wearable sensors,...

The impact of urban air pollution on the environments and human health has drawn increasing concerns from researchers, policymakers and citizens. To reduce the negative health impact, it is of great importance to measure the air pollution at high spatial resolution in a timely manner. Traditionally, air pollution is measured using dedicated instrum...

Knowledge about what transport mode people use is important information of any mobility or travel behaviour research. With ubiquitous presence of smartphones, and its sensing possibilities, new opportunities to infer transport mode from movement data are appearing. In this paper we investigate the role of spatial context of human movements in infer...

Human travel behaviour has been addressed in many transport studies, where travel survey methods have been widely used to collect self-reported insights of daily mobility patterns. However, since the introduction of Global Navigation Satellite Systems (GNSS) and more recently smartphones with built-in GNSS, researchers have adopted these ubiquitous...

Om de twee schooldagen heeft er in België een aanrijding tussen een scholier en een vracht-wagen plaats. En om de drie dagen valt er in Vlaanderen een verkeersdode als gevolg van overdreven snelheid. Nochtans is het perfect mogelijk om voertuigen uit te rusten met software die de routeplan-ning voor goederenvervoer duurzamer en veiliger maakt en di...

Knowledge about human mobility patterns is the key element towards efficient mobility management. Traditionally, these data are collected by paper/phone household surveys or travel diaries and serve as input for transportation planning models. In this chapter, we report on current state-of-the-art techniques for sensing human activity and report on...

Car sharing practices are introducing electric vehicles into their fleet. However, literature suggests that at this point shared electric vehicle systems are failing to reach satisfactory commercial viability. Potential reason for this is the effect of higher vehicle usage which is characteristic for car sharing, and the implication on the battery...

It is estimated that each of us, on a daily basis, produces a bit more than 1 GB of digital content through our mobile phone and social networks activities, bank card payments, location-based positioning information, online activities, etc. However, the implementation of these large data amounts in city assets planning systems still remains a rathe...

The paper explores potential to forecast what transport mode one will use for his/her next trip. The support vector machines based approach learns from individual's behavior (validated GPS tracks) to support smart city transport planning services. The overall success rate, in forecasting the transport mode, is 82 %, with lower confusion for private...

Traditional travel survey methods have been widely used for collecting information about urban mobility although Global Position System (GPS) has become an automatic option for collecting more precise data of the households since mid-1990s. Many studies on mobility patterns have focused on the GPS advantages leaving aside its issues such as the qua...

Recently, the use of market segmentation techniques to promote sustainable transport has significantly increased. Populations are segmented into meaningful groups that share similar attitudes and preferences. This segmentation provides valuable information about how policy options, such as pricing measures or advertising campaigns, should be design...

Sustainable mobility and smart mobility management play important roles in achieving smart cities' goals. In this context we investigate the role of smartphones as mobility behavior sensors and evaluate the responsivity of different attitudinal profiles towards personalized route suggestion incentives delivered via mobile phones. The empirical resu...

Het Elmo@work-project liep in de periode 2013-2015. Het onderzocht of elektrische tweewielers een volwaardig transportmiddel kunnen zijn voor werkgerelateerde verplaat-singen. De bedrijven die in het project stapten, boden de werknemers een duurzaam verplaatsingsmiddel aan en droegen bij tot een meer leefbare omgeving. Dit artikel geeft de eindresu...

Onaangepaste snelheid is naast dronkenschap de hoofdoorzaak van zware ongevallen. Assistentie van de bestuurder bij het snelheidsgedrag is daarom een cruciaal hulpmiddel om ongevallen te voorkomen. De huidige navigatiesystemen geven al wel advi-serende snelheidsinformatie, maar die is niet dwingend en verre van accuraat. In het VEBIMOBE-project van...

The role of sustainable mobility and its impact on society and the environment is evident and recognized worldwide. Nevertheless, although there is a growing number of measures and projects that deal with sustainable mobility issues, it is not so easy to compare their results and, so far, there is no globally applicable set of tools and indicators...

Travel time forecasting is an interesting topic for many ITS services. Increased availability of data collection sensors increases the availability of the predictor variables but also highlights the high processing issues related to this big data availability. In this paper we aimed to analyse the potential of big data and supervised machine learni...

The MOVE smart city platform integrates different data sources, and has been integrated in several projects in order to support mobility research about individual mobility behavior. The platform is applied in specific ‘living labs’ (e.g. concerning mobility budget, electric company bikes, …), as well as in public mobility campaigns (such as Biking...

The problem of traffic congestion is particularly acute in urban areas in which the possibilities for the physical increase of capacities are limited or nonexistent. Traffic congestion has a direct impact on the emission, energy efficiency and fuel consumption of personal vehicles. Several projects in the European Union are focused on solving this...

Mobility management represents one of the most important parts of the smart city concept. The way we travel, at what time of the day, for what purposes and with what transportation modes, have a pertinent impact on the overall quality of life in cities. To manage this process, detailed and comprehensive information on individuals' behaviour is need...

This paper investigates the potential of electric vehicles (EVs) in a context of a pilot test in Belgium, consisting of car sharing services managed and exploited in small communities. Part of a broader testing activity in the framework of the e-Mobility NSR project, the test had the objective of metering EVs’ charging and consumption in real daily...

"De toegang tot de stad met één vervoermiddel zal" "de komende jaren steeds meer worden terugge- drongen. Tegelijk zullen mensen steeds vaker ver- voermiddelen combineren en zal de rol van deel- mobiliteit groter worden. Om de impact van deelauto’s op het leefmilieu te beperken, kan die rol vervuld worden door elektrische voertuigen. Binnen het Eur...

This paper presents a description of applied procedures and methods, the way of making a model of recommendations system for textual documents written in Croatian language and testing the applicability of developed recommendations model. For the text classification, combination of v-fold cross validation and kNN (k - nearest neighbors) method is us...