Early Estimation of Multi-Objective Traffic Flow

Dominik Ascher and Georg Hackenberg

Connected Vehicles and Expo (ICCVE), 2014 International Conference on, November 11, 2014

#simulation#systems-design#systems-engineering#systems-validation#traffic-control#transportation-systems
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Publication 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}
}