In order to evaluate the impact of driver assistance systems under various situations, researchers have attempted to reproduce accurate traffic situations and accidents by traffic simulations. Here, we propose a new simulator STREET (Safety & Traffic REaltime Evaluation Tool) that has a driver model with a cognition model and a decision-making model in it. This paper mainly describes the aim an...

IN T R O D U C T IO N Small cities have minor traffic congestion which occurs on major arterials. Primarily because of the importance of the central business district (C B D ), the greatest traffic delays result from the morning, noon and evening peak flows to, from and through the city center. In addition, the points within any size urban area of highest vehicle delay are at the signalized int...

Based on the thought of Logistic cumulative probability, this paper establishes the traffic state probability model under snow-ice condition on artery, and puts forward the corresponding parameters calibration method and model evaluation method; finally, using traffic flow survey data under snow-ice condition on Huanghe road and Hongqi street in a city to analysis and forecast traffic state, pu...

The management of street lighting is a known problem can be revisited from the perspective smart cities. In cities, services and are interconnected to provide infrastructure for sustainable growth improvement in quality life citizens. this research work, xplore was new low-cost technologies create intelligent systems capable monitoring controlling luminaires, thus reducing maintenance costs all...

background: injuries and fatalities from road traffic injuries are global public health concerns, and a major problem in the iran. this study aimed to explore strategies to control road traffic injuries (rti) in iran. methods: we conducted a qualitative study to explore possible ways to reduce the occurrence of road traffic injuries in iran in 2016. interviewees were purposively sampled from va...

Smart transportation based on big data traffic analysis is an important component of smart city. With millions of ubiquitous street cameras and intelligent analytic algorithms, public transit systems of the next generation can be safer and smarter. We participated the IEEE Smart World 2017 NVIDIA AI City Challenge which consists of two tracks of contests that serve this spirit. In the AI City T...

The problem of efficient traffic coordination in urban street networks is carefully studied in the paper. The problem description was simplified as much as possible, by defining minimal set of decision variables and deriving necessary constraints on their values. The structure of feasible solutions is established introducing new basis of street network loops. The software package was worked out...

Using machine learning for predicting traffic is described in the context of a competition organized using the TunedIT platform. A heuristic is proposed for reconstructing the route of a car in a street graph from a temporal stream of its coordinates. A resilient propagation neural network for approximating the average velocity on a given street from irregular time series of instantaneous veloc...