NEXTRANS Project No. 125OSUY2.1 VARIATIONAL BAYES METHOD FOR ESTIMATING TRANSIT ROUTE OD FLOWS USING APC DATA

A generalized and efficient algorithm for estimating transit route ODs from passenger counts

An algorithm is presented for transit passenger OD estimation. The algorithm, like some other existing OD estimation techniques, generates estimates based upon passenger boarding and alighting counts at each stop along the route. The algorithm is distinct in that it does not only estimate an OD matrix for the vehicle trip from which the boarding and alighting counts were taken. Rather, it furth...

User-equilibrium Route Set Analysis of a Large Road Network

By 1953 Martin Beckmann had formulated and analyzed the static, deterministic userequilibrium (UE) route choice model with variable origin-destination flows (demand) (Beckmann et al, 1956; Boyce, 2004). Twenty years later, Suzanne Evans (1973, 1976) proposed and analyzed an algorithm for solving a version of Beckmann’s model that corresponded to practitioner models with origin-destination (OD) ...

Prospect of Technology for Public Transit Planning using Smart Card Data

The smart card system has been applied for all subway and bus in Seoul metropolitan area since 2004. In Seoul area public transport more than 90% of passengers use smart cards to pay fare. The boarding and alighting information from the smart cards enable to calculate the OD (origindestination) and total travel distance of each transit passenger. The smart card system of Seoul is operated as on...

NEXTRANS Project No.173OSUY2.2 BAYESIAN UPDATING PROCEDURE FOR PREDICTION OF CONCRETE BRIDGE DECK CONDITION USING VISUAL INSPECTION DATA By

Prediction Model of Bus Arrival and Departure Times Using AVL and APC Data

The emphasis of this research effort was on using AVL and APC dynamic data to develop a bus travel time model capable of providing real-time information on bus arrival and departure times to passengers (via traveler information services) and to transit controllers for the application of proactive control strategies. The developed model is comprised of two Kalman filter algorithms for the predic...