Urban commuters have been suffering from traffic congestion for a long time. In order to avoid or mitigate the effect, it is significant know how introduction of autonomous vehicles (AVs) influence road capacity . The effects that AVs bring macroscopic fundamental diagram (MFD) were investigated through microscopic simulations. This key issue as MFD basic model describe in practical engineering. Accordingly, paper investigates different percentage affects urban MFD. A detailed simulation...

We propose a supervised method of extracting event causalities like conduct slash-and-burn agriculture! exacerbate desertification from the web using semantic relation (between nouns), context, and association features. Experiments show that our outperforms baselines are based on state-of-the-art methods. also methods generating future scenarios desertification! increase Asian dust (from China)! asthma gets worse. we can generate 50,000 with 68% precision. generated scenario deforestation...

The era of autonomous vehicles infer new challenges in several fields. When take over the road a large volume, consumer preferences around car-ownership will transform, traffic modeling and control need correction, moreover hackers appear. These are just few impacts which expectable near future. Accordingly, paper's aim is to enlighten trends upcoming driverless automated transportation system from engineering perspective.

The aim of the presented research is to elaborate a traffic-responsive optimal signal split algorithm taking uncertainty into account. traffic control objective minimize weighted link queue lengths within an urban network area. problem formulated in centralized rolling-horizon fashion which unknown but bounded demand and influences prediction. An efficient constrained minimax optimization suggested obtain green time combination, minimizes function when worst case appears. As illustrative...

The Research Center for Autonomous Road Vehicles (RECAR) was founded in 2015 upon the initiative of Faculty Transportation Engineering and Vehicle Budapest University Technology Economics. research center is supported by industrial partners other academic targeting educational purposes. In complement to this project, construction a new automotive test track also under development especially autonomous road vehicle testing serving as proving ground Zalaegerszeg, Hungary. Accordingly, an...

The present paper's focus is the V2X (Vehicle-to-Everything) communication between traffic light controller and road vehicles. After a brief review on state-of-the-art technologies their feasibility for practical implementation, description of potential discussed providing working solution SPaT/MAP (Signal Phase Timing MAP as intersection geometry) standard based communication, specifically automotive proving ground usage. main outcome proposed full y flexible control system applying...

The paper focuses on the simulation of signal control problems based VISSIM microscopic simulator. is a commonly used software in practice for diverse related to road traffic control. Beyond standard use VISSIM, advanced options are available. COM interface and DLL API may be as well providing freedom engineer. By exploiting programming possibilities efficient simulations achieved. As additional possibility MATLAB involved creating an integrated environment with VISSIM. Thus, complex...

In the near future, autonomous vehicles will face with new challenges in several fields. One of most exciting changes be represented by network-wide optimal traffic control. When driverless take over road, classical road signalization schemes become superfluous. Accordingly, paper's aim is to propose a control design methodology for urban network considering performance. The proposed two-level strategy solves tractable optimization problem wide On one hand, local intersection controller...

Road traffic congestion has become an everyday phenomenon in today's cities all around the world. The reason is clear: at peak hours, road network operates full capacity. In this way, growing demand cannot be satisfied, not even with traffic-responsive signal plans. external impacts of come a serious socio-economic cost: air pollution, increased travel times and fuel consumption, stress, as well higher risk accidents. To tackle these problems, number European have implemented reduced speed...

The paper investigates a model predictive control (MPC) strategy specialized in urban traffic management order to relieve congestion, reduce travel time and improve homogenous flow. Over the theory realization of method is also presented. To validate effectiveness controller busy network was chosen for test field. MPC implemented into system (hardware loop simulation). applied environment microscopic simulator with mathematical software proper computational applications evaluation....

The paper investigates a distributed control system scheme for urban road traffic management. algorithm is based on model predictive (MPC) involving Jacobi iteration to solve constrained and nonlinear programming problem. signal controllers of network constitute computers. They can distribute their computation realizing an efficient without any central However the optimal inputs be also calculated by single controller if contains few intersections. aim relieve congestion, reduce travel time...

Autonomous vehicular technology significantly stresses the issue of safety. Although use driverless cars raises considerable expectations a general improvement in safety, new challenges concerning safety aspects stem from changing context. On one hand, paper addresses regulatory issues raised by impact technological changes, particularly standardization problems. other liability questions is investigated as it might cause today's main legal obstacle for wide spreading autonomous cars,...

The paper proposes a traffic speed prediction algorithm for urban road networks. motivation of the is to provide short time forecast in order support ITS (Intelligent Transport System) functionalities, such as traveler information systems, route guidance (navigation) well adaptive control systems. A potential and efficient solution this problem application soft computing method. Namely, an artificial neural network (ANN) used by involving measured patterns. ANN trained using data produced...

Purine bases and their bioisosteric analogs are widely used as building blocks in combinatorial chemistry. Recently a great number of fused pyrimidine derivatives became known potential drug molecules against various types proliferative diseases, caused by over-expression protein kinases. One the most important compound families quinazolines : e.g. best inhibitor EGFR tyrosine kinase is PD153035 (6,7-dimethoxy-4-(3'-bromophenyl)amino-quinazoline) IRESSA (gefitinib, ZD1839), developed from...

In this paper a real-time macroscopic modeling framework of road traffic emissions is suggested based on an average-speed emission model. A model function created to describe the spatiotemporal distribution motorway using loop detector data only which suitable for dispersion and immission modeling. The proposed built variables, derivation shown both microscopic levels, in latter case showing relationship with performance functions as well. validated VISSIM/MatLab simulation environment,...

This work suggests a framework for modeling the traffic emissions in urban road networks that are described by Network Fundamental Diagram (NFD) concept. Traffic emission is formalized finite spatiotemporal windows as function of aggregated variables, i.e. Total Travel Distances (TTDs) network and average speed. The extended size an during signal cycle – window which parameters modeled NFD Simulations have been carried out model accuracy analysis, using microscopic Versit+Micro reference. By...

Summary This work proposes a nonlinear model predictive controller for the urban gating problem. The system is formalized based on research existing models of network fundamental diagram and perimeter control systems. For models, modifications are suggested: additional state variables allocated to describe queue dynamics at gates. Using extended model, designed offering ‘non‐greedy’ policy compared with previous, ‘greedy’ designs. greedy non‐greedy (NMPC) controllers linear feedback...

Abstract The knowledge of road traffic parameters is crucial importance to ensure state-of-the-art services either in public or private transport. In our days, a plethora data are continuously collected producing historical and real-time information as well. available information, however, arrive from inhomogeneous sensor systems. Therefore, fusion methodology proposed based on Switching Kalman Filter. concept enables efficient travel time estimation for urban network. On the other hand,...

The paper investigates a novel approach to the traffic control problem of signalized junction with bus priority. In road engineering practice, adaptive algorithms are generally used for maximizing flow intersections. strategies aim calculate optimal signal splits lights. calculation is usually based on number vehicles measured by appropriate detection methods and may also depend public transport priority actions (e.g. "green call" buses). main drawback these that vehicle passengers not taken...