Tomislav Erdelić

University of Zagreb · Department of Intelligent Transport Systems and Logistics

The transport network is a complex system that benefits from detailed data on user mobility. Analyzing user trajectories through clustering or classification methods can provide valuable insights into mobility patterns. Extracting transport modes from these trajectories using classification methods enhances the understanding of user mobility. The c...

Urban logistics encompass transportation and delivery operations within densely populated urban areas. It faces significant challenges from the evolving dynamic and stochastic nature of on-demand and conventional logistics services. Further challenges arise with application doctrines shifting towards crowd-sourced platforms. As a result, “tradition...

Background: Road transport companies utilize transport capacities as fixed compositions of tractors and semi-trailers, while the possibility of exchanging semi-trailers is considered ad hoc, after some unforeseen circumstances emerge on the route. Such an approach is a limiting factor in achieving optimal utilization of transport capacities, and co...

Urban mobility is facing many challenges, such as energy consumption, pollution, and safety. Therefore, it is necessary to analyze the mobility of users through the transportation network using data containing information regarding the used transport mode. This data article describes a dataset from mobile devices collected by users as they move thr...

By coupling data-mining techniques with historical cellular and vehicular data, it is possible to find a certain spatiotemporal logic in the observed data. The primary motivation for combining multiple data sources derives from the fact that origin-destination matrices, extracted from cellular data sets, represent only the route's start and end-poi...

Traffic emissions are one of the main causes of air pollution in developed urban areas. Estimating emissions patterns presents an ongoing challenge for the research and decision-making communities to detect and propose solutions for system stakeholders contributing to the pollution the most. This paper proposes a data-driven methodology for estimat...

Identifying distribution of users’ mobility is an essential part of transport planning and traffic demand estimation. With the increase in the usage of mobile devices, they have become a valuable source of traffic mobility data. Raw data contain only specific traffic information, such as position. To extract additional information such as transport...

With the rise of the electric vehicle market share, many logistic companies have started to use electric vehicles for goods delivery. Compared to the vehicles with an internal combustion engine, electric vehicles are considered as a cleaner mode of transport that can reduce greenhouse gas emissions. As electric vehicles have a shorter driving range...

Efficiently predicting traffic congestion benefits various traffic stakeholders, from regular commuters and logistic operators to urban planners and responsible authorities. This study aims to give a high-quality estimation of traffic conditions from a large historical Floating Car Data (FCD) with two main goals: (i) estimation of congestion zones...

Road traffic anomaly detection is an essential research topic within the Intelligent Transport System (ITS) context. Urban road anomaly detection systems are a crucial part of the ITS regarding the trip planning, road security, and congestion estimation applications. In this paper, the method for traffic anomaly detection using Speed Transition Mat...

Determining the traffic state is one of the most attractive problems for experts in the field of Intelligent Transport Systems (ITS). In this paper, a deep learning model for determining the traffic state is presented. Model is based on Convolutional Neural Networks (CNN) and uses weekly speed profiles as input data. The proposed model consists of...

Nowadays, due to the new laws and policies related to the greenhouse gas emissions, and the rise of social and ecological awareness of transport sustainability, logistic companies started to incorporate green technologies in their distribution activities. Here, electric vehicles, as a cleaner mode of transport than conventional vehicles come to the...

In order to ensure high-quality and on-time delivery in logistic distribution processes, it is necessary to efficiently manage the delivery fleet. Nowadays, due to the new policies and regulations related to greenhouse gas emission in the transport sector, logistic companies are paying higher penalties for each emission gram of CO2 /km. With electr...

Nowadays, due to the new laws and policies related to the greenhouse gas emissions, and the rise of social and ecological awareness of transport sustainability, logistic companies started to incorporate green technologies in their distribution activities. Here, electric vehicles, as a cleaner mode of transport than conventional vehicles come to the...

Traffic congestions appear mostly in urban areas, at intersections. Therefore, it is important to have a measure to quantify intersection performance, especially during rush hours. Usually, intersection's Level of Service (LoS) is used as a performance measure in project design, today. In this paper, we present a method to estimate queue length, co...

Traffic congestion that appears at intersections is the growing problem in urban areas of larger cities, as the capacity and efficiency of intersection affect the road network directly. This paper applies the method of the queuing theory for analyzing traffic conditions at intersections, especially waiting times. The flow of vehicles on the multi-l...

Prediction of travel time through the road network has a important part in traffic management systems and traveler information systems. Compared to the currently used constant speeds along the roads in Croatia, the speed profiles provide the information about time dependent speeds along the roads and increase the accuracy in travel time predictions...

SORDITO – System for Route Optimization in Dynamic Transport Environment (16 months, October 2014 – February 2016) The goal of the SORDITO project is to develop an algorithm that computes the best traffic route in advance for the purposes of the private users and business application regarding traffic congestion that can be predicted. TDVRP (Time...

In this paper, we present a method for computing speed profiles by processing GPS data collected by vehicles in an urban area. The vehicles were tracked during a five year period on the road network of the capital city of Croatia (Zagreb). Traffic congestions in Croatia appear almost exclusively in urban areas, therefore Zagreb was chosen for this...