Abstract
TWM -Traffic Weighted Multi-maps- is presented as a novel traffic route guidance model to reduce urban traffic congestion, focusing on individual trip and collective objectives considering citizens, individual multi-modal mobility, and heterogeneous traffic groups. They have different interests, goals and regulation, so new multi-objective cost functions and control systems are required. TWM is structured around a novel control paradigm, based on the generation and distribution of complementary cost maps for traffic collectives (fleets), oriented towards the application of differentiated traffic planning and control policies. Agents receive a customized view TWM of the network that is used to calculate individual route using standard means and tools. The research describes the TWM theoretical model and microscopic simulations over standard reference traffic network grids, different traffic congestion scenarios, and several driver’s adherences to the mechanism. Travel-time results show that TWM can have a high impact on the network performance, leading to enhancements from 20% to 50%. TWM is conceived to be compatible with existing traffic routing systems. The research has promising future evolution applying new algorithms, policies and network profiles.
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