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When dealing with road traffic modeling, one problem is given by the difficulty of modeling the dynamics of a vehicle/group of vehicles from the time it enters a road section until it reaches the end. Besides, road traffic, seen as a complex dynamic process, is difficult to be characterized by fixed values. Therefore, this paper proposes a solution using fuzzy logic control, which by analyzing the...
To solve the problem that traffic safety risks is difficult to identify and compare quantitatively for the new road or accident black spots, the virtual simulation tests (VST) system is put forward combined the numerical simulation. The driver module on vehicle speed control, the vehicle dynamic network solution module, traffic environment 3D model, traffic safety management and control module, human-vehicle-road...
Car-following models play an important role in the field of road traffic system, and one of its important issues is the vehicle formation. To conduct the analysis of vehicle formation, this paper introduces the concept of zero dynamics and gives a detailed analysis of the full velocity difference (FVD) model. Meanwhile, the stability analysis of FVD model based on the Lyapunov function is also discussed,...
This paper presents a broad perspective on traffic flow modeling at a spectrum of four scales. Modeling objectives and model properties at each scale are discussed and existing efforts are reviewed. In order to ensure modeling consistency and provide a microscopic basis for macroscopic models, it is critical to address the coupling among models at different scales, i.e. how less detailed models are...
In this work, we apply single neuron method to address the traffic density control problem in a macroscopic level freeway environment with ramp metering. The second-order traffic flow model is firstly formulated. Then traffic density is selected as the control variable in place of traffic occupancy. Based on the traffic flow model and in conjunction with nonlinear feedback theory, a single neuron...
Traffic congestion wastes time, energy, and causes pollution. In this paper, We propose an application taking advantage of vehicular communications, namely dynamic route planning. In dynamic route planning, the route from a travel origin to its destination, instead of being statically determined at the travel starting time, is periodically recomputed according to real-time traffic information. Estimating...
Traffic congestion is a very serious problem in large cities. With the number of vehicles increasing rapidly, especially in cities whose economy is booming, the situation is getting even worse. In this paper, by leveraging the techniques of Vehicular Ad hoc Networks (VANETs) we present a dynamic navigation protocol called VAN for individual vehicles to find the shortest-time paths toward their given...
In order to improve the Vehicle Weigh in Motion System with precision, the paper introduces Nerve Net Algorithm to error analysis. The article sets up a neural network model by determining the neural network input and output variables. Then, the function is defined by net training on MATLAB software. Finally through the experimental verification of Nerve Net Algorithm improving Weigh in Motion System...
Vehicle routing problem is an important combinatorial optimization problem. It has an important position in logistics optimization and supply chain management theory. Due to traffic flow, traffic incidents and other factors, the travel speed and travel time of road has large time-variability and randomness in real transport network. The study of vehicle routing problem in time-dependent network has...
The recurrence of traffic, environment and traffic accident scenery on the road is significant to research traffic flow, road and traffic safety, which could provide "humanization" of road safety traffic system with safe, economic, repeatable and ideal experiment platform. Drivers are direct users and key factors in the safe road traffic-system. Road traffic human-computer interface simulator...
This paper proposes novel high accuracy road condition estimation called Tire Grip Margin (TGM), and TGM is estimated by using dual pitman arm type steer-by-wire and lateral force sensor and estimator. In addition, we propose cornering stability control technique based on the TGM. It can help driver and vehicle before unstable state. We verify our proposed system achieves robust vehicle dynamics control...
In this paper, a dynamic model and adaptive motion controller of a two-wheeled self-balancing vehicle is presented. First, we derive a dynamic model of the vehicle with respect to the wheel motor torques as inputs using the Boltzmann-Hamel method in quasi-coordinates for nonholonomic systems. Using estimation-based approach, an adaptive controller is designed to achieve upright balancing and steering...
An application that uses reinforcement learning (RL) agents for traffic control along an arterial under high traffic volumes is presented. RL agents were trained using Q learning and a modified version of the state representation that included information on the occupancy of the links from neighboring intersections. The proposed structure also includes a reward that considers potential blockage from...
This paper presents the design and simulation tests of a steering assistance for passenger vehicles based on a dynamic state feedback controller. Its main purpose is to avoid unintended lane departure and collisions. The design of the proposed lane keeping system takes into account the road curvature, considered as an exogenous input, into its internal model. The computation of the control law has...
This paper proposes a strategy of urban bimodal traffic regulation based on multi-agent modelization. The objective of this strategy is to work on the duration of the traffic lights to regulate traffic for transport modes that include private and public transport vehicles, principally the bus. The model respects the method of bus regulation with a route agent, who supervises all the vehicles on the...
Recently, data dissemination in vehicular networks has received considerable attention. In particular, there has been significant interest in accessing information stored at RSUs (Roadside Units). Although data access has been extensively studied in the network community, unique characteristics in vehicular networks bring us new challenges. First, the RSU provides both safety-critical and non-safety-critical...
Many applications and protocols are planned for the so-called Intelligent Transportation Systems (ITS). Most of them are supposed to work in dynamic networks, such as the vehicular ad hoc networks (VANET). However, designing and studying distributed applications and protocols in such networks is not easy. Analytical studies suffer from the lack of pertinent models. Simulations are often far from reality...
In order to ensure the traffic safety of freeway in fog, it is necessary to take traffic control measures. Based on the road networks conditions of mountainous freeway, and the analysis of driver's travel behavior as well as the requirement of traffic control in fog, it brings forward the selection principles of traffic control site for freeway management under foggy conditions, researches on the...
The INTERSAFE-2 project aims to develop and demonstrate a Cooperative Intersection Safety System that is able to significantly reduce injury and fatal accidents at intersections. The cooperative sensor data fusion is based on state-of-the-art and advanced on-board sensors for object recognition and relative localisation, a standard navigation map and information from other road users, infrastructure...
In this paper, two TS-type fuzzy logic controllers (FLC) in direct and incremental forms are constructed for freeway local ramp metering tasks. The values of consequent part of fuzzy rules are optimized with a particle swarm optimization algorithm (PSO). The optimization process under PSO is carried out on PARAMICS microscopic traffic simulation platform. FLC methods and the traditional ALINEA control...
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