Impact of ITS services on the safety and efficiency of road traffic

This paper describes the project entitled: “Impact of the use of Intelligent Transport Systems on the level of road safety” (agreement no. DZP/RID-I-41/7/NCBR/2016), implemented as part of the Road Innovations Development (RID) programme, funded by the National Centre for Research and Development and the General Directorate for National Roads and Motorways (GDDKiA). The project is run by a consortium comprising the Motor Transport Institute, University of Gdańsk, Warsaw University of Technology, Military University of Technology and Research Institute of Roads and Bridges. The impact of ITS services and accompanying modules on road safety may be considered in functional, logical or physical terms. The aim of the project is to understand how ITS services change road safety

Inteligentny system transportu dla aglomeracji trójmiejskiej. Telekomunikacja i Techniki Informacyjne, 2009, nr 1-2

Wskazano przesłanki zastosowania inteligentnych systemów transportu. Opisano założenia, koncepcję architektury i funkcjonowania trójmiejskiego inteligentnego systemu trasportu aglomeracyjnego TRISTAR oraz poszczególnych jego podsystemów

ANALYSIS OF POSSIBILITIES FOR THE USE OF VOLUME-DELAY FUNCTIONS IN THE PLANNING MODULE OF THE TRISTAR SYSTEM

Summary. Travel time is a measure commonly used for traffic flow modelling and traffic control. It also helps to evaluate the quality of traffic control systems in urban areas. Traffic control systems that use traffic models to predict changes and disruptions in vehicle flows have to use vehicle speed-prediction models. Travel time estimation studies the effects of traffic volumes on a street section at an average speed. The TRISTAR Integrated Transport Management System, currently being deployed across the Tri-City (Gdansk, Sopot, Gdynia), is almost completed and data obtained from the System can be useful for the development of prediction models. A procedure for travel speed model selection for the Tri-City street network is presented in this paper. Matching of chosen volume-delay functions to the data obtained from the TRISTAR has been tested. Analyses have shown insufficient matching of functions that does not justify the possibility of their use in traffic control due to variability in different conditions of traffic, weather and, in the case of an incident, which justifies the need for further research aimed at satisfying matching of functions depending on the above-mentioned factors

Traffic models in modern road transport management

Wdrożenie i rozwijanie wielopoziomowego modelu podróży i sieci transportowej (MST), w ramach Systemu Planowania Ruchu (SPR), usprawniającego zarządzanie transportem w systemach transportowych z wykorzystaniem usług oferowanych przez Inteligentne Systemy Transportu, może stanowić wsparcie naukowe dla krajowych, regionalnych lub lokalnych administracyjnych jednostek planistycznych i operacyjnych w usprawnieniu systemowego zarządzania ruchem drogowym, w działaniach zmierzających do poprawy poziomu sprawności i bezpieczeństwa w transporcie. W artykule przedstawiono koncepcję, realizację oraz przykłady zastosowań SPR wraz z MST jako kluczowych elementów systemów zarządzania transportem. Zostały one wdrożone w wyniku badań naukowych nad integracją modeli podróży, ruchu i sieci transportowej w ramach realizacji Zintegrowanego Systemu Zarządzania Ruchem TRISTAR w Trójmieście oraz projektów badawczych CIVITAS DYN@MO „DYNamic citizens @ctive for sustainable Mobility”, FLOW „Furthering Less Congestion by Creating Opportunities For More Walking and Cycling” i RID-4D „Wpływ stosowania usług Inteligentnych Systemów Transportowych na poziom bezpieczeństwa ruchu drogowego”.The implementation and development of a multi-level travel model and network (MST), within the framework of a Traffic Planning System (SPR), improving transport management in transport systems with the use of services offered by Intelligent Transport Systems, may provide scientific support to national, regional or local planning and operational administrative planning and operational units for the optimisation of systemic traffic management, in activities aimed at improving transport efficiency and safety levels. This article presents the concept, implementation and examples of applications of SPR together with MST as key elements of transport management systems. They have been implemented as a result of scientific research on the integration of travel models, traffic and transport network in the framework of the implementation of the Integrated Traffic Management System TRISTAR in Tri-City and research projects CIVITAS DYN@MO “DYNamic citizens @ctive for sustainable Mobility”, FLOW “Furthering Less Congestion by Creating Opportunities for More Walking and Cycling” and RID-4D “Impact of Intelligent Transport Systems services on the level of road safety”

Automatic road traffic safety management system in urban areas

Traffic incidents and accidents contribute to decreasing levels of transport system reliability and safety. Traffic management and emergency systems on the road, using, among others, automatic detection, video surveillance, communication technologies and institutional solutions improve the organization of the work of various departments involved in traffic and safety management. Automation of incident management helps to reduce the time of a rescue operation as well as of the normalization of the flow of traffic after completion of a rescue operation, which also affects the reduction of the risk of secondary accidents and contributes to reducing their severity. The paper presents the possibility of including city traffic departments in the process of incident management. The results of research on the automatic incident detection in cities are also presented

The application of microscopic models in the study of pedestrian traffic

Cities (especially in Central and Eastern Europe) focus on improving the road network, which aims to improve the efficiency of motor traffic and minimize congestion. Most of existing tools for analysing the effectiveness of urban transport networks do not assume to analyse the impact of walking and cycling on efficiency of transport systems. It is therefore necessary to develop solutions that on the one hand will reduce congestion, and on the other hand, improve the safety and quality of travel of vulnerable road users. One of the tasks to be developed in order to improve pedestrian conditions is to determine the relationship between pedestrian and vehicle traffic. An attempt has been made to establish the relationship between pedestrians and vehicle traffic in order to describe traffic conditions and pedestrian safety at pedestrian crossings. The analyses were based on simulations carried out using the PTV Vissim/Viswalk software and with the use of surrogate safety measures

Emissions modelling using microscopic traffic simulation

W artykule poruszono zagadnienia związane z modelowaniem emisji spalin z wykorzystaniem mikroskopowych symulacji ruchu drogowego. Celem pracy było opracowanie modelu ruchu, na podstawie którego możliwe jest obliczenie emisji z pojazdów z uwzględnieniem typu skrzyżowania oraz wartości natężeń ruchu. W artykule skupiono się na wartościach zużycia paliwa i emisji dwutlenku węgla. Przeanalizowano literaturę w zakresie czynników wpływających na emisję, które zależne są od człowieka, pojazdu i infrastruktury. Dokonano przeglądu matematycznych modeli pozwalających na obliczenie wartości chwilowych, często związanych ze zużyciem paliwa, które stanowią podstawę do oszacowania emisji. Wybrany model został zaimplementowany do modułu oprogramowania mikrosymulacyjnego w celu analizy wielkości emisji, w zależności od natężenia ruchu na skrzyżowaniu o ruchu okrężnym i skrzyżowaniu z pierwszeństwem przejazdu. Przedstawiono wyniki badań z uwzględnieniem wariantów modeli sieci obejmujących jedynie dojazd i przejazd przez skrzyżowanie oraz niezależnie uwzględniających rozpędzanie pojazdów za skrzyżowaniem. W końcowym fragmencie artykułu objęto dyskusją wybrane założenia, możliwe do uwzględnienia w analizach i mające wpływ na osiągnięte wyniki, omówiono kwestie dokładności modelu oraz zaproponowano rozwiązania pozwalające na zwiększenie poziomu szczegółowości osiąganych wyników.The article deals with issues related to modeling of exhaust emissions using microscopic traffic simulations. The aim of the study was to develop a traffic model that can be used to calculate vehicle emissions taking into account the type of intersection and traffic volumes. The article focuses on fuel consumption and carbon dioxide emission values. The literature was analyzed for factors affecting emissions that depend on human, vehicle, and infrastructure. Mathematical models were reviewed to calculate instantaneous values, often related to fuel consumption, which form the basis for estimating emissions. The selected model was implemented in a microsimulation software module to analyze emissions as a function of traffic volume at a roundabout intersection and a priority intersection. The results are presented for variants of network models that include only the approach and crossing of the intersection and those that independently account for vehicle acceleration beyond the intersection. The final part of the article discusses the selected assumptions that can be taken into account in the analyses and have an impact on the results obtained. It also discusses the issues of model accuracy and proposes solutions that enable an increase in the level of detail of obtained results

Estimation of Vehicle Energy Consumption at Intersections Using Microscopic Traffic Models

This paper addresses issues related to modeling energy consumption and emissions using microscopic traffic simulations. This paper develops a method in which a traffic model is used to calculate the energy needed to travel through selected types of intersections. This paper focuses on energy consumption and derived values of calculated energy, which can be, for example, carbon dioxide emissions. The authors present a review of the scientific literature on the study of factors affecting energy consumption and emissions and methods to estimate them in traffic. The authors implemented an energy consumption model into a microsimulation software module to estimate results as a function of varying traffic volumes at selected types of intersections and for selected traffic organization scenarios. The results of the study show the lowest energy consumption and the lowest emissions when road solutions are selected that contribute to reducing vehicle travel times on the urban street network at higher average vehicle speeds. In addition, the positive impact of the share of electric vehicles in the traffic flow on the reduction of energy consumption and emissivity was estimated