Understanding the quality and usage of public transportation resources is important for schedule optimization and resource allocation. Ridership and adherence are two main dimensions for evaluating the quality of service [1, 5]. Using Automatic Vehicle Location (AVL), Automatic Passenger Count (APC), and Global Positioning System (GPS) data, ridership data and adherence data of public transport...

Bus dwell time data collection typically involves labor-intensive ride checks. This paper reports an analysis of bus dwell times that use archived automatic vehicle location (AVL)/automatic passenger counter (APC) data reported at the level of individual bus stops. The archived data provide a large number of observations that serve to better understand the determinants of dwells, including anal...

Route bus system is the fundamental public transportation system and has an important role in every province. To improve the usability of it greatly, we develop an AR application for ”BusNet”. The Bus-Net system is the shortest path planning system. Bus-Net supports bus users to make a plan to change buses by providing them with information about the direction. However, with Bus-Net, these info...

Proprietary formats and licensing restrictions limit individuals from sharing, viewing, or updating geographic (e.g., map) datasets and also restrict the use of these data to create innovative location-based services. Open geographic data repositories are now emerging that do not have these restrictions. The General Transit Feed Specification (GTFS) is a common open format for public transporta...

Cooperative transit signal priority (CTSP), which integrates cellular vehicle-to-everything (C-V2X) technology, can improve the efficiency of connected vehicles at signalized intersections. However, few studies have considered impact bus stops on CTSP under adaptive control. Near-side an intersection and multiple arriving same stop affect arrival prediction. To overcome these shortcomings, we p...

DESCRIPTION A 12-year-old girl presented to the emergency department after waiting at a bus stop in winter.

In this work, we address the problem of online travel time prediction in the context of a bus journey. That is, a journey may be ongoing in the sense that journey events already indicated the progress of the bus on its route. For such an ongoing journey, we are interested in the current prediction of the traveling time from the current bus stop to some destination via a particular sequence of s...

In major cities public buses serve as a main source for public transportation System. It has been found that much research work has been carried out in this field using GPS-GSM technology to detect the bus and GPS technology to extract the location of the bus. Taking these aspects into consideration we have proposed a Bus Tracing System with Arrival Time Prediction, by which the commuters can g...

Research on accessibility, a measure of ease reaching potential opportunities, has advanced significantly, but the adoption these measures by public transport agencies lagged. One explanation may be that research been conducted at different spatial scales from stop level typically used agencies. To address this gap, study examines relationship between accessibility to jobs and average daily bus...