Abstract:
Multi-modal transportation planning refers to
traffic analysis that considers various modes of transportation
mechanisms such as walking, cycling, motorcycles, private
passenger vehicles, delivery cargo vehicles, public transportation
modes like buses or trains, etc. Effective city traffic planning has
become a challenging task involving complex behavioral analysis
of multi-modal traffic scenarios. New ventures of research
solutions and effective multi-modal traffic strategies should be
explored to mitigate ever-rising issues related to traffic
congestion. Before new solutions are to be deployed on real
traffic environments, it requires recurring experiments to be
carried out and comprehensive testing cycles to be passed
through. Hence, simulators play a crucial supporting role by
emulating real environments during trials. In this paper, we
investigate interdependencies and effects between different
transportation modes by simulating pedestrian movements,
different private transport modes and public transport avenues
and propose an effective transport planning strategy using multimodal
simulation approach. We have selected Colombo city in
Sri Lanka as our study region and used SUMO (Simulation of
Urban MObility), a well-known microscopic traffic simulator for
simulations. Our experiment results show that there are
supporting strong evidences exist that interdependencies between
multi-modal transportation modes contribute significantly to
effective urban traffic planning.
