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Right-lane driving rule is common in most countries in the world. Nonetheless people supported this rule while fail to be aware that it may not have perfect performance in certain aspects. This paper modeled driving rules and discussed performances. We construct an overtaking model and a non-changing lane driving model to illustrate the right-lane driving rule. Computer simulations are employed respectively...
In this paper, we describe an approach to speedup of the microscopic road traffic simulation. This approach is based on an aggregation of the movement of each vehicle from several time steps into a single long movement. This aggregated vehicle movement (AVM) reduces the number of computations necessary for the movement of the vehicles. This, in turn, leads to the savings of the computation time. The...
This paper proposes a novel preemptive algorithm for optimization of traffic signals in VANETs to reduce large queuing at crossroads by allowing smooth movement of traffic on the roads without much waiting. The proposed algorithm selects green light timings according to real time vehicular density and can select any phase out of predefined order depending on the traffic density on that phase to reduce...
Due to the extreme fast movement of traffic in the busy localities, the cases of road accidents are increasing day by day. Traffic Control Board made different speed limit for different places to limit the speed, but it is not possible to always monitor the infringements manually due to several factors.
Emergency supplies dispatch is becoming more and more important and complex and we find hierarchical dispatch is a good method. Based on it, we propose a method about the two-level dispatch problems of emergency supplies which is characterized with multi-supplies and multi-vehicles. In addition, we also give the mathematical description and model considering two kinds of road and multiple objective...
This work is devoted to the construction of feedback laws which guarantee the robust global exponential stability of the uncongested equilibrium point for general discrete-time freeway models. The feedback construction is based on a control Lyapunov function approach and exploits certain important properties of freeway models. The developed feedback laws are tested in simulation. A comparison with...
We consider the equilibrium departure time problem for a set of vehicles that travel through a network with capacity restrictions and need to reach a destination at a fixed time. The vehicles incur a penalty for both any queuing delays and arriving at the destination early or late. In particular, we consider the case of a congested off-ramp, which is a common occurrence next to commercial hubs during...
In this paper a model-based event-triggered control scheme for freeway traffic systems is proposed. The freeway network is a spatially distributed system in which sensors and actuators act on portions of the overall system. Measurements and control actions can be transmitted among the plant and the controllers via a shared communication network. For this reason the freeway network can be controlled...
In this paper, the analysis of the fitness function of a genetic algorithm is discussed. This genetic algorithm is used by a method for the road traffic network division. The division of the road traffic network into a number of sub-networks is a part of necessary preparations for a distributed road traffic simulation. The fitness function consists of two parts reflecting two important issues of the...
Intelligent Transport Systems are a valuable source of traffic information, covering both private and public vehicles. The main problem, however, is that very few studies are conducted to determine the speed of buses, trams and trolleys in urban networks in relation to traffic conditions. The paper investigates how ITS systems data could be used to model the speed of Public Transport vehicles. This...
Emission modelling is one of the key applications of traffic simulation because it allows for the detailed evaluation of ITS and other traffic measures before implementation. In order to assess the outcomes correctly it becomes necessary to compare the different emission and traffic models for their applicability to different scenarios. This paper compares two different traffic models and three different...
Over the past years improvements in the field of vehicle-2-infrastructure communication offer a lot of possibilities for interactive vehicle applications. The challenge of existing driver assistance algorithms is the fact that a lot of decisions are necessary to select the best driving strategy. The incoming information are mostly based on local sensor values. The disadvantage of this approach is...
This research aims to investigate the required sample size of probe vehicles that are necessary to report the real-time travel time with a desired statistical accuracy in different traffic conditions on freeways. The corridor studied is SR78-E in the North County of San Diego that connects Oceanside and Escondido. The field data used in this study was collected from PeMS during the period from 0:00...
In this paper, a mixed-integer linear programing (MILP) model for the traffic behavior of plug-in electric vehicles (PEVs) in an urban environment is proposed. It is assumed that any environment can be categorized into different zones based on their urban functions (e.g. industrial, residential, and commercial). Therefore, the interaction of PEVs that travel between these zones has to be modeled....
The main innovative idea of the proposed cyber physical system is step-by-step transfer of traffic lights from the ground to a virtual cloud space for vehicle management, equipped with a mobile gadget or computer, which displays on the screen map, route, coordinates of the road user and real traffic signals. The aim of this paper is to propose and discuss the formal modeling and technical realization...
Incident impact on the road traffic directly is to cause congestion and delay. Firstly, certainty queuing model combined with variables of four stage duration prediction was employed to develop the incident certainty delay model. And the stochastic delay real-time prediction model was created combining the random distribution characteristics. With the time information when vehicles entered and exited...
In this paper the authors present an approach to the interpretation and distribution of geo-referenced information about road events for the purpose of road traffic shaping in the INSIGMA system. Particular focus was paid to the architecture and development of Registration, Distribution and Displaying Road Information on Variable Message Signs that implements the proposed mechanism. Created subsystem...
Modeling and simulation of transportation systems are extensively used because of high costs and potential safety and security issues associated with its prototyping in a real traffic. Modeling and simulation play a key role in understanding real systems through abstraction and evaluating new technologies. In this paper, we conducted a simulation-based analysis to assess potential benefits of applying...
The objective of the paper is to define a control framework for freeway traffic in which several vehicle classes are explicitly taken into account. The Model Predictive Control approach has been chosen for defining the proposed regulation scheme, in which both ramp metering and speed limitations are adopted as control actions. In the overall control scheme, the two types of control actions (ramp metering...
Shock waves on freeways can be resolved by dynamic speed limits. In an earlier publication we presented an approach to solve shock waves based on shock wave theory, the so-called SPECIALIST algorithm, and the potential of the algorithm was established by simulation. In this paper a method is presented to evaluate the expected effectivity of the SPECIALIST algorithm based on field data.
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