Vehicle Emission Computation Through Microscopic Traffic Simulation Calibrated Using Genetic Algorithm
نویسندگان
چکیده
منابع مشابه
Highway Maintenance Scheduling Using Genetic Algorithm with Microscopic Traffic Simulation
This paper introduces a hybrid genetic algorithm-microscopic traffic simulation methodology for scheduling of pavement maintenance activities involving lane closures aiming to minimize network traffic delay. Genetic algorithm is implemented as an optimization tool for the generation and selection of maintenance schedules. For each possible schedule, a microscopic traffic simulation model is use...
متن کاملGenetic Algorithm for the Calibration of Vehicle Performance Models of Microscopic Traffic Simulators
Simulating Communication in a Service-Oriented Architecture for V2V Networks p. 15 Applying Event Stream Processing on Traffic Problem Detection p. 27 ALEA Artificial Life and Evolutionary Algorithms Instability in Spatial Evolutionary Games p. 41 Agent-Based Model of Aedes aegypti Population Dynamics p. 53 Using Operator Equalisation for Prediction of Drug Toxicity with Genetic Programming p. 65
متن کاملSimulation of Genetic Algorithm: Traffic Light Efficiency
Traffic is a problem in many urban areas worldwide. Traffic flow is dictated by certain devices such as traffic lights. The traffic lights signal when each lane is able to pass through the intersection. Often, static schedules interfere with ideal traffic flow. The purpose of this project was to find a way to make intersections controlled with traffic lights more efficient. This goal was accomp...
متن کاملThe adjacent Vehicles Query Algorithm of Microscopic Traffic Simulation
Microscopic traffic simulation reflects the characteristics of the entire traffic flow by simulating individual vehicles in the transport network. Therefore, in the microscopic simulation, before a vehicle make behavioural changes, it needs to get the information from surroundings (especially information from its adjacent vehicles) in time. In a large-scale traffic simulation system, the query ...
متن کاملGenetic Algorithm-Based Combinatorial Parametric Optimization for the Calibration of Microscopic Traffic Simulation Models
In this paper, we introduce GENOSIM: Genetic Optimizer for Traffic Micro-simulation Models. GENOSIM is developed as a pilot software, employing state of the art combinatorial parametric optimization to automate the tedious task of calibrating traffic microscopic simulation models. The employed global search technique, Genetic Algorithms, is integrated with a dynamic traffic microscopic simulati...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Artificial Intelligence and Soft Computing Research
سال: 2018
ISSN: 2083-2567
DOI: 10.2478/jaiscr-2018-0025