Car Travel Time Estimation near a Bus Stop with Non-motorized Vehicles

Bus stop-skipping scheme with random travel time

When a bus is late and behind schedule, the stop-skipping scheme allows the bus vehicle to skip one or more stops to reduce its travel time. The deadheading problem is a special case of the stop-skipping problem, allowing a bus vehicle to skip stops between the dispatching terminal point and a designated stop. At the planning level, the optimal operating plans for these two schemes should be ta...

Non-motorized Travel

Travel Time Estimation Using Floating Car Data

This project explores the use of machine learning techniques to accurately predict travel times in city streets and highways using floating car data (location information of user vehicles on a road network). The aim of this report is twofold, first we present a general architecture of solving this problem, then present and evaluate few techniques on real floating car data gathered over a month ...

Urban Travel Time Estimation Using Real Time Bus Tracking Data

In this paper, the concept of using bus probes for urban street travel time estimation in the advanced traveler information system (ATIS) application is investigated through both a thorough literature review and a case study in downtown Chicago using the Chicago Transit Authority (CTA)'s buses. First, existing bus probes studies are reviewed and compared with respect to the research objectives,...

Floating Car Data: Travel Time Estimation in Urban Networks

Floating Car Data (FCD) is becoming a more and more popular technique for travel time measurements in road networks. Nevertheless, FCD is a sampling technique which requires controlling the statistical properties of link travel times to obtain accurate estimations. Based on microsimulation outputs, this paper shows which parameters play a key role in the travel time estimation accuracy, particu...