Mohammadi Kazaj, P.
khajeh nasir toosi university of technology
[ 1 ] - Solving the Ride-Sharing Problem with Non-Homogeneous Vehicles by Using an Improved Genetic Algorithm with Innovative Mutation Operators and Local Search Methods
An increase in the number of vehicles in cities leads to several problems, including air pollution, noise pollution, and congestion. To overcome these problems, we need to use new urban management methods, such as using intelligent transportation systems like ride-sharing systems. The purpose of this study is to create and implement an improved genetic algorithms model for ride-sharing with non...
[ 2 ] - Solving the ridesharing problem with Non-homogeneous vehicles by using an improved genetic algorithm and the social preferences of the users
Most existing ridesharing systems perform travel planning based only on two criteria of spatial and temporal similarity of travelers. In general, neglecting the social preferences caused to reduce users' willingness to use ridesharing services. To achieve this purpose a system should be designed and implemented not just based on two necessary conditions of spatial and temporal similarities, but...
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