A Web-based Platform for the Design of Urban Transit Route Networks
Michael N. Kalochristianakis, Ioannis Deligiannkis, Dimitrios Kosmopoulos · 2015
The design of public transportation networks requires solving optimization problems, involving various parameters such as the proper mathematical description of networks, the algorithmic approach to apply, and also the consideration of real-world, practical characteristics such as the types of vehicles in the network, the frequencies of routes, demand, possible limitations of route capacities, travel decisions made by passengers, the environmental footprint of the system, the available bus technologies, besides others. The current paper presents the work towards that direction, which employs novel optimization approaches such as the binary particle swarm optimization algorithm. The proposed system employs tiered middleware architectures that integrate geographic information services in order to produce practical, realistic results.