As the sharing economy has been increasing dramatically in the world, the mobile-hailed ridesharing companies like Uber and Lyft in the US, Didi Chuxing in China has begun to challenge traditional public transportation providers such as bus, subway or taxis. Ridesharing companies have shown their ability to provide the mobility services where public transit has failed. The human mobility demand...

Many modern and growing cities are facing declines in public transport usage, with few e cient methods to explain why. In this article, we show that urban mobility patterns and transport mode choices can be derived from cellphone call detail records coupled with public transport data recorded from smart cards. Specifically, we present new data mining approaches to determine the spatial and temp...

This paper describes Soft Computing approach to modeling time-dependent (dynamic, real time) transportation phenomenon characterized by uncertainty. The proposed “intelligent” control systems that are based on a combination of fuzzy logic (or neural networks) and mathematical programming (or heuristic) techniques make “on line” control decisions of the highest quality. In the first step of the ...

Modeling traffic patterns has remained a difficult problem recently made even more complex by transportation modelers’ attempts to incorporate aspects of human decision making in traffic demand forecast methodology. In this paper, we propose to study the traffic pattern as the emerging result of the interplay between the urban/physical environment, the institutional context, the transportation ...

Copyright is held by the author/owner(s). UbiComp ’13 Adjunct , Sept 8-12, 2013, Zurich, Switzerland. ACM 978-1-4503-2139-6/13/09...$15.00. Abstract Inferring context information from periods of transportation is an important subtopic of the wider field of mobile and ubiquitous sensing. The transportation behavior reveals information about individual’s physical activity, preferred transit types...

The concept of accessibility needs to take into account factors like individual needs, preferences, and abilities as well as transportation, land use, and finances. This article proposes a sensitive space–time accessibility indicator from a regional perspective. This indicator, representing cumulative available activity time with a regional context, is different from both traditional accessibil...

This article discusses recent developments in the area of interoperable Internet Things, using an example delivering data-driven transportation services. Initial results obtained by exploiting heterogeneous traffic data streams reveal interesting patterns for different vehicle types.

The process of planning and constructing a new light rail system or freeway, setting an urban growth boundary, changing tax policy, or modifying zoning and land use plans is often politically charged. Our goal in the UrbanSim project is to provide tools for planners and stakeholders to be able to consider different scenarios — packages of possible policies and investments — and then, based on t...

Uncovering human mobility patterns is of fundamental importance to the understanding of epidemic spreading, urban transportation and other socioeconomic dynamics embodying spatiality and human travel. According to the direct travel diaries of volunteers, we show the absence of scaling properties in the displacement distribution at the individual level,while the aggregated displacement distribut...

Many modern and growing cities are facing declines in public transport usage, with few efficient methods to explain why. In this article, we show that urban mobility patterns and transport mode choices can be derived from cellphone call detail records coupled with public transport data recorded from smart cards. Specifically, we present new data mining approaches to determine the spatial and te...