Modeling of taxi cab fleets in urban environment

摘要: Taxis are a necessary mean of transport in cities for meeting the mobility needs its citizens. The impact taxi market daily life is quite important, concerning both financial (e.g. drivers' salaries) and societal issues (e.g congestion, travel demand satisfaction). Therefore, it crucial to develop models tools an effort help decision makers control meet customers' requirements adequate level service. In this direction, various methodologies have been developed aiming at quantifying impacts evaluating performance sector, initially from aggregated economic equilibrium perspective recently operational more realistic one. The main objective thesis that analyze provision services, emphasizing on optimal number taxis order provide reasonable waiting time customers assure minimum profitability drivers. For purpose, two developed, analytical one agent-based simulation first model able macroscopic way, using average values cost area study obtaining optimum achieving unitary system related fleet. second characteristics sector detail, simulating trips road network recording all indicators efficiency sector. Observed data city Barcelona used calibrating results their application Barcelona. perfectly complement each other. Their combination can prove be valuable tool when analyzing or policy decisions. At same time, local operation analyzed detail designing since actors included within taken into account optimizing performance. pricing policies market, fare levels fleet sizes. Policy shifts also through development optimization problem matching supply ones provided by shift-based policy, which most common around world. Optimum ranges obtained hailing, dispatching stand modes. Dispatching mode appears efficient low levels, while hailing present lower costs high levels. Aggregated tend underestimate between 15% 30% if distribution uniform. non-uniform demands, overestimate 20% 300%, depending GINI value distribution.