With the great increase of electric vehicles (EVs) in past decade, EV-involved traffic accidents have also been increasing quickly many countries, bringing new safety challenges. Norway has largest EV penetration rate world. Using accident data from 2020 and 2021, this study aims to investigate features comprehensively. Firstly, a descriptive analysis is conducted. It found that rear-end collisions are major collision type EVs, EVs very likely collide with pedestrians/cyclists. In addition,...

Abstract Background Understanding the spatial–temporal distribution characteristics of urban road traffic accidents is important for safety management. Based on data Wales in 2017, formed. Methods The density analysis method used to identify areas with high accident incidence and severity. Then, two types spatial clustering models, outlier hot spot are further regions Results results cluster compared. show that, terms frequency severity, Swansea, Neath Port Talbot, Bridgend, Merthyr Tydfil,...

An effective traffic control strategy will improve travel reliability in urban transportation networks. Lack of coordination between vehicles, however, exacerbates congestion due mainly to frequent stops at unsignalized intersections. It is beneficial develop a conflict-free cooperation method that collects basic safety message from multiple approaching Connected and Autonomous Vehicles (for short, CAVs) guarantees efficient intersection operations with safe incident free vehicle maneuvers....

Traffic self-organizing is controlled autonomously by rules that rely on adaptation to local variations in traffic state and enable effective coordination of the vehicular at a network level. Combined with intelligent transportation, we proposed distributed method for Connected Autonomous Vehicles (CAVs), which aimed improve efficiency safety between Multiple Adjacent-Ramps (multi-ARs). To make mainline formation more stable, speed ramp vehicles was adjusted ensure suitable headway...

In this paper we have present the architecture and module for internet firewall. The central component is fuzzy controller while properties of packets are fuzzified as inputs. On basis proposed security algorithm, figured out level each packet adjust according to dynamic states. Internet firewall can respond these dynamics take respective actions accordingly. Therefore, proactive solves conflict between speed by providing high performance security. Simulation shows that if response value in...

Traffic congestion is usually caused by the frequent lane changing behaviour of vehicles in weaving segments, especially several adjacent segments. In order to solve problem congestion, this paper proposes a traffic guidance method based on self-organizing critical state, and designed Nash equilibrium optimization scheme average delay. Then VISSIM software carries simulation verification actual neighbor First, it validates induced organization method, keeps each information input consistent,...

We present an Arduino-based automatic robotic system which is used for cutting grass or lawns, mostly healthy needs to cut neatly like in a public park private garden. The purpose of this proposed project design programmable pattern robot with solar power no longer requires time-consuming manual grass-cutting, and that can be operated wirelessly using Android Smartphone via Bluetooth from safe distance capable the indeed required shapes patterns; blade also adjusted maintain different length...

Since traffic is a time-dependent and complicated non-linear system. Chaos Theory has been specifically designed to identify chaotic behaviour properties for such systems. Previous researches have restricted single parameter, which fails get actual of the In this work, we devised multi-parameters chaos prediction method describe tendency from different aspects parameter time series. The fusion considered relationship parameters according phase space reconstruction. Taking exit ramp...

In view of the chaotic characteristic in road traffic flow and actual condition that cannot be comprehensively reflected by single parameter, a fusion algorithm multi-parameters for forecasting, with consideration relationship between multiple parameters, is proposed. This based on reconstruction phase space. According to Bayesian estimation theory, parameters are optimally fused into points same Accordingly, space information increases closer dynamical behavior system. On basis, using...

In order to identify the traffic state of urban road network accurately, identification methods based on cloud computing model are proposed. The macroscopic and microscopic characteristics flow discussed in detail; then index systems models proposed theory. Numerical results an arterial testified effectiveness methods. can be applied analysis on-line extract information historical database provide decision support for management.

Existing time-series models that are used for short-term traffic condition forecasting mostly monophyletic detector in nature. Generally, information-fusion online from multi-source sensors to more accurately and completely obtains than using either of them alone.  In this paper, a prediction method real-time is presented, which the detection data collected by different components sets, such as Global Position System (GPS), Radio Frequency Identification (RFID), video camera. Finally, case...

Effective noise reduction and abnormal feature extraction are important for sound detection occurring in urban traffic operations. However, to improve the accuracy of continuous flow even overlapping vehicle bodies, effective methods capable achieve accurate signal-to-noise ratio appropriate characteristic parameters should be explored. In view disadvantages traditional methods, such as Short-Time Energy (STE) Mel Frequency Cepstral Coefficients (MFCC), this study adopts an improved spectral...

Traffic state information is widely applied into all aspects of Intelligent Transportation System (ITS), such as the macro-control government departments, implementation traffic managers' plans, decision-making residents travel, and so on. At present, Mel Frequency Cepstrum Coefficient (MFCC) generally used characteristic noise to characterize different states, performs well in simple environment, but poorly complex environment. Based on analysis acquired from a roadside-installed acoustic...

Traffic volume information is widely used in all aspects of Intelligent Transportation Systems (ITS), such as transportation planning, traffic states identification, management, safety analysis, and so on. In recent years, acoustic sensors are gradually applied to the detection various parameters. this paper, data sets acquired from utilized estimate road volume. The short-term energy (STE) algorithm zero crossing rate (EZCR) usually they both perform well under some simple circumstances,...

Purpose In an intelligent transportation system (for short, ITS) environment, a vehicle’s motion is affected by the information in large scale. The purpose of this paper to study integration effect multiple vehicles’ delayed velocities on traffic flow. Design/methodology/approach This constructed new car-following model analyzed linear and nonlinear perturbation method theoretically also verified simulation. Findings It found out that preceding affect stability flow importantly, three should...