In the past few years a growing number of cities have started monitoring the position of public transportation vehicles using GPS devices. Most of these trajectory data are released in raw format and usually have issues, such as measurement errors. Providing insights from these valuable (and noisy) data is a major challenge in larger cities. In this paper we present a system, called Vistradas, ...

Recently, many studies have tried to find travel patterns to understand citizen’s movement behaviours and improve transportation services based on the big data in public transportation systems. This research introduces a method of discovering and evaluating spatial movement patterns from smart card transaction data of multi-modal transportation networks such as subway and bus. The transaction d...

The mobility of modern metropolises strongly relies on urban rail transit (URT) systems, and such a heavy dependence causes that even minor service interruptions would make the URT systems unsustainable. This study aims at optimally dispatching the ground feeder-bus to coordinate with the urban rails' operation for eliminating the effect of unexpected service interruptions in URT corridors. A f...

Automatic Vehicle Location (AVL) Systems are being introduced increasingly in many cities around the world. These systems are aimed at cost reduction and optimization of time and resources. A Radio Frequency Identification (RFID) based system called RFID Urban Transportation Monitoring System (RUTMS), is proposed in this paper for urban transportation tracking. The monitoring of bus stops and l...

The greenhouse gases and air pollution generated by extensive energy use have exacerbated climate change. An electric-bus (e-bus) transportation system favors reducing pollution and carbon emissions. This study analyzed the minimization of construction costs for an all batteryswapping public e-bus transportation system. A simulation was conducted according to existing timetables and routes. Day...

This paper examines the characteristics of intercity bus riders within Tennessee and proposes methods to identify service gaps and prioritize network expansion, particularly focusing on rural-urban connections. Data were collected through an on-board survey and compared with intercity auto trips. Compared to personal auto users, intercity bus riders are more likely to be of minority races, unem...

In order to formulate rational improvement proposal for rural bus services, it is necessary to understand how people value different attributes of travel. In this article, the disutilities of travel have been modeled based on stated choice data collected from trip-makers traveling along a rural bus route in Midnapur district, West Bengal, India. Multinomial Logit Model (MNL) is used to develop ...

Quick response (QR) to passenger needs is a key objective for advanced public transportation systems (APTS), and it has become increasingly important for contemporary metropolitan bus operations to gain a competitive advantage over private transportation. This paper presents a real-time control methodology for demand-responsive bus operations that respond quickly to passenger needs. The propose...

This paper introduces a hierarchical Markov model that can learn and infer a user’s daily movements through an urban community. The model uses multiple levels of abstraction in order to bridge the gap between raw GPS sensor measurements and high level information such as a user’s destination and mode of transportation. To achieve efficient inference, we apply Rao-Blackwellized particle filters ...

Research on demand-responsive collective transportation facilities that can act as feeder services to time-table based public transportation (PT) requires detailed and accurate information about the PT infrastructure, including the attachment of bus stops to the appropriate network link. Due to the size of the infrastructure, the data integration shall be automated. This paper describes the eff...