Exploring the use of multi-objective genetic algorithms for reducing traffic generated air and noise pollution in urban areas
This paper addresses the issue of route planning for minimizing traffic generated air and noise pollution in urban areas. The most sensitive spot in route planning is the design of algorithms, especially when a great deal of information has to be treated to evaluate such routes. This paper presents a route planning algorithm based on genetic algorithms and multi-objective evaluation. The routing generation algorithm works through a geo-referenced street network, the routes being evaluated for the number of people they affect in terms of noise and air pollution, as well as for their length and feasibility. The paper presents exploratory results of that procedure implemented in the GRASS Trademark Geographical Information System for the city of Catania in the south of Italy.
Bibliographic Reference: Paper presented: EUFIT 97, Aachen (DE), September 8-12, 1997
Availability: Available from (1) as Paper EN 40566 ORA
Record Number: 199710669 / Last updated on: 1997-06-09
Original language: en
Available languages: en