Constructing the data model for public transportation by integrating the spatial and the non-spatial information, is the basis of reasonable plan and effective management of urban public transport. This paper presents a transit data model based on geographic information systems (GIS) technology, which utilizes arc-node networks, and manages the foundational bus data with point, link, polygon an...

New transportation systems have always attracted attention of both transportation experts and general public: the first railway in England, first automobile and streetcar in Germany, first airplane in the United States all of these inventions attracted excitement, curiosity, enthusiasm and skepticism. With time, many inventions fulfilled or exceeded expectations: they have been developed into m...

In the last decades, the increase of traffic and the limited capacity of urban networks, led to the development of algorithms for traffic management and route guidance. GPS technology can be used for fleet monitoring in urban or suburban areas and may provide useful information concerning the movement of all vehicles. Current route guidance systems are simple from an algorithmic point of view, ...

This thesis tackles the Urban Transit Network Design Problem (UTNDP) which involves determining an efficient set of routes and schedules for public transit networks. The UTNDP can be divided into five subproblems as identified by Ceder and Wilson [24]: i) network design, ii) frequency setting, iii) timetable development, iv) bus scheduling, and v) driver scheduling, with each problem requiring ...

In determining the marginal cost of congestion, economists have traditionally relied upon directly measuring traffic congestion on network links, disregarding any “network effects,” since the latter are difficult to estimate. While for simple networks the comparison can be done within a theoretical framework, it is important to know whether such network effects in real large-scale networks are ...

It has been recently shown that a macroscopic fundamental diagram (MFD) linking spacemean network flow, density and speed exists in the urban transportation networks under some conditions. An MFD is further well defined if the network is homogeneous with links of similar properties. This collective behavior concept can also be utilized to introduce simple control strategies to improve mobility ...

In the last decades, due to the increasing car traffic and the limited capacity of urban networks, algorithms for traffic management and route guidance are becoming more and more important. GPS technology can be used for fleet monitoring in urban or suburban areas, from a central monitoring station and may provide useful information concerning the movement of all vehicles. Current route guidanc...

The decision takers of the public transportation system, as part of urban critical infrastructures, need to increase the system resilience. For doing so, we identified analysis tools for biological networks as an adequate basis for visual analytics in that domain. In the paper at hand we therefore translate such methods for transportation systems and show the benefits by applying them on the Mu...

Currently most optimization methods for urban transport networks (i) are suited for networks with simplified dynamics that are far from real-sized networks or (ii) apply decentralized control, which is not appropriate for heterogeneously loaded networks or (iii) investigate good-quality solutions through micro-simulation models and scenario analysis, which make the problem intractable in real t...

This paper shows that the deployment of an opportunistic network on any public transportation system leads to obtain a scalable and efficient urban communication platform. We use the term Bus Switched Networks (BSNs) to indicate this urban backbone that complements the services of 3G networks and enables to meet the application level requirements for a large class of applications by ensuring hi...