Early Estimation of Multi-Objective Traffic Flow
Dominik Ascher and Georg Hackenberg
Connected Vehicles and Expo (ICCVE), 2014 International Conference on, 11-14 November 2014
Abstract
Intelligent Transportation Systems (ITS) have come a long way targeting problems such as increasing emissions and growing vehicle numbers. Current approaches address a variety of objectives including congestion management, collision avoidance, energy-efficiency and emission reduction. However, respective solutions typically are designed for and tailored to a predefined set of objectives. Consequently, the effects of drastically changing objectives cannot be assessed easily. To address this situation we present a lightweight approach to estimating multi-objective traffic flow early in systems engineering using non-deterministic models and stochastic optimization techniques. We demonstrate the feasibility of the framework using a basic traffic scenario and conclude with future work.
BibTeX Citation
@INPROCEEDINGS{Ascher2014,
author={D. Ascher and G. Hackenberg},
booktitle={2014 International Conference on Connected Vehicles and Expo (ICCVE)},
title={Early estimation of multi-objective traffic flow},
year={2014},
pages={1056-1057},
keywords={intelligent transportation systems;stochastic programming;ITS;basic traffic scenario;collision avoidance;congestion management;emission reduction;energy-efficiency;intelligent transportation systems;multiobjective traffic flow early estimation;nondeterministic models;stochastic optimization techniques;systems engineering;Biological system modeling;Context modeling;Estimation;Optimization;Software;Vehicles;Feasibility study;intelligent transportation systems},
doi={10.1109/ICCVE.2014.7297511},
ISSN={2378-1289},
month={Nov}
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