Transportation Research Challenges Based on the Analysis of EU Projects

In recent years several projects have been realised in the field of transportation, but there is a lack of systematic analysis of research challenges connected to these projects. Thus, the main aim of this paper is to provide an overview of these challenges through EU funded projects in the field of smart, green and integrated transport. Based on EU strategic documents, reports and roadmaps, 10 topics are identified playing a crucial role in transportation-related research. A systematic analysis of the projects is realised, where the projects collected from an online database in the Horizon 2020 framework programme from 2015 to 2020 are categorised into these topics. The results show that travel behaviour, big data and open data, sustainable mobility planning and smart solutions are covered by several projects which reflect the main research trends. While active and shared modes, multimodal transportation, trip optimisation and Mobility as a Service are also popular topics. Based on the results, the most underrepresented research areas are artificial intelligence and social networks. The analysis of the connections between the research topics could enable the achievement of a long-term paradigm shift in urban mobility, which is beneficial for researchers, professionals and policy makers

Multicriteria Analysis of Hungarian Journey Planners

For planning and realization of travel chains journey planners can be used, but these often offer only partial solutions, especially considering the domestic operators. In order to reveal the improvement opportunities of the journey planners an evaluation method was developed. Using the method the journey planners can be compared in a quantitative way and ranked by functional, operational and visualization features. Journey planners of bus transport operators (Volán) in Hungary were analyzed and evaluated, some top features were also highlighted. The evaluation was performed taking the preferences of certain user groups into consideration, thus the values and ranking varied. The novelty of the paper is the application of our general evaluation method for Hungarian operators and the ranking among them, which provides input for development measures. The spatial properties of the journey planners were also represented in order to highlight the geographical differences

Potential Travel Time Reduction with Autonomous Vehicles for Different Types of Travellers

Autonomous Vehicles (AVs) have been designed to make changes in the travel behaviour of travellers. These changes can be interpreted using transport models and simulation tools. In this study, the daily activity plans were used to study the possibility of increasing the utility of travellers through minimizing the travel time by using AVs. Three groups of travellers were selected based on the benefits that they can obtain when AVs are on the market. The groups are (a) long-trip travellers (b) public transport riders, and (c) travellers with specified characteristics. Each group is divided into one or more scenarios based on the definition of each group and the collected data. A total of seven scenarios were derived from the collected data and simulated twice to include the existing transport modes and the presence of AVs. The simulations were conducted using Multi-Agents Transport Simulation (MATSim) that applies the concept of a co-evolutionary algorithm. MATSim simulates the current plans and the ones where AVs replace all or part of the existing conventional transport modes in the daily activity plans. The results have shown a reduction in the trip time: 13% to 42% for group (a), 33% for group (b), and 16% to 28% for group (c) compared with the original trip times. In conclusion, it can be claimed that AVs could reduce the travel time in all cases, which provides benefits for people to increase their utilities

Travel Behavior of Car Travelers with the Presence of Park-and-Ride Facilities and Autonomous Vehicles

Travelers' behavior is predicted based on their individual preferences. People search for alternatives to maximize their benefit from doing activities, such as increasing the activity time by minimizing the travel time. Traffic congestion and the scarcity of parking spaces in the city center motivate the decision-makers to encourage travelers to use the park-and-ride (P&R) system. An evaluation concerning the impact of using the P&R system on the travel behavior of car users is conducted. Some of the existing P&R facilities are incorporated into the daily activity plans of car travelers to produce new daily activity plans (i.e., P&R facility is considered an activity). By using the Multi-Agent Transport Simulation (MATSim) open-source tool, simulations of the daily activity plans including the P&R system and autonomous vehicles (AVs) are conducted. The study examines three scenarios: (1) a simulation of the existing condition, (2) a simulation of the daily activity plans of the travelers with the P&R system, and (3) a simulation of the daily activity plans of the travelers with the P&R system and AVs. The results show that using the P&R system increases the overall travel time compared with the existing conditions, and the use of AVs as a transport mode impacts the existing modal share as follows: 64 % of the car users switch to AVs, while 15 % of the car users switch to public transport. The output of this study might be used by policy-makers in parking pricing and the location of the P&R facilities

The Influence of Education Level on Urban Travel Decision-making

Personal choices can be changed by educating citizens. Education and learning are decisive factors in shaping the society and its spatial forms, where higher education level is an important proxy to assess the awareness level of people about current issues, such as sustainable transportation. Linking education and travel behaviour can inspire future urban policies to provide modal shift towards sustainable modes. The paper aimed to evaluate the influence of education level on mode choices for 45 cities from 29 countries. In general, education level was controlled by population density and GDP per capita, which are the parameters significantly influencing travel behavior. The main result has demonstrated that an increase in the higher education level is connected with dropping the modal share of driving in cities more than any change in other studied factors, while an increase in population density reduces driving more than an increase in GDP per capita. The results have been assessed and it was showed that higher education level considerably affects travel mode choice in cities. Thus, educating citizens is an important path to reduce car dependency

Utazástervező rendszerek értékelési szempontjaihoz tartozó súlyszámok meghatározása Fuzzy AHP alapú módszerrel

Az internetes utazástervező rendszerek értékeléséhez felállított szempontrendszerhez az utaspreferenciák (súlyszámok) meghatározása céljából az utasokat csoportokba osztották, és kérdőíves felmérést végeztek. Az utascsoportok és a fő szempontok közötti preferencia összefüggéseket reprezentáló súlyszámok megállapításához a Fuzzy AHP módszert alkalmazták. Meghatározták az eredeti és Fuzzy AHP súlyszámokat, amelyeket összehasonlítottak és megvizsgálták azt, hogy alkalmas-e a Fuzzy AHP módszerhez kapcsolódó páros kikérdezés az eredeti kérdőíves kikérdezés továbbfejlesztésére. A folyamatokat, eredményeket foglalták össze a szerzők

Special issue on dynamic models serving real-time urban transport operations

ABSTRACTIn the era of intelligent transportation systems, there is an increasing need of developing dynamic transport models to improve the realism of simulations, aiming to higher efficiency of ne..

Az elektromos mikromobilitás keretrendszere és városi igények feltárása európai példákon keresztül = A framework for electric micromobility and the exploration of urban needs as shown through European examples = Ein Rahmenwerk für die elektrische Mikromobilität und die Erforschung städtischer Bedürfnisse anhand europäischer Beispiele

A különböző városok egymástól eltérő eljárásokat használnak a közlekedési rendszerek tervezése, a szabályozás döntéshozatali folyamatainak kialakítása, az állami és magán szolgáltatók kooperációjának kidolgozása során. Ez különösen igaz az új mobilitási megoldások esetén. A cikk az elektromos mikromobilitás (e-mikromobilitás) jelenlegi helyzetét vizsgálja európai városi mintákon keresztül. = Recently, a number of new mobility solutions have emerged that help make transport systems more sustainable. This study attempts to explore the current situation and the future prospects of electric micromobility (e-micromobility). First, an expert workshop was held and an expert survey was conducted. The aim of the expert workshop was to examine various vehicle types with the help of stakeholders, while the expert survey defined the parameters of e-micromobility. As a continuation of our research, we would like to define a framework that adapts to different regulations and is able to define general guidelines that help the integration of micromobility with other modes of transport. = In der letzten Zeit entstehen eine Reihe neuer Mobilitätslösungen, die dazu beitragen sollen, Verkehrssysteme nachhaltiger zu gestalten. Ziel der vorliegenden Studie war es, die Situation und Möglichkeiten der elektrischen Mikromobilität (E-Mikromobilität) zu erforschen. Zunächst wurde ein Expertenworkshop verfanstaltet beiehungsweise eine Expertenbefragung durchgeführt. Ziel des Expertenworkshops war es, die Fahrzeugtypen mit Hilfe von Interressengruppen zu untersuchen, während anhand der Expertenbefragung die Parameter der E-Mikromobilität definiert wurden. Als Fortsetzung unserer Forschung möchten wir ein Rahmenwerk definieren, das sich an die unterschiedlichen Vorschriften anpasst und in der Lage ist, allgemeine Richtlinien zu bestimmen, um die Integration der Mikromobilität mit anderen Verkehrsträgern zu unterstützen