Real-Time Estimation of Urban Street Segment Travel Time Using Buses as Speed Probes

Author:

Pu Wenjing1,Lin Jie (Jane)2,Long Liang3

Affiliation:

1. Metropolitan Washington Council of Governments, 777 North Capitol Street, NE, Washington, DC 20002.

2. Department of Civil and Materials Engineering, Institute of Environmental Science and Policy, University of Illinois at Chicago, 842 West Taylor Street (MC246), Chicago, IL 60607.

3. Cambridge Systematics Inc., 4800 Hampden Lane, Bethesda, MD 20814.

Abstract

Using transit buses as probes to detect general vehicle traffic conditions could be a real-time traffic monitoring mechanism in an urban advanced traveler information system. The feasibility of such an application depends primarily on the existence of quantifiable relationships between bus traffic and general vehicle traffic and infrequent bus travel observations (constrained by the scheduled bus headway and route configuration) that are sufficiently sensitive to infer real-time general vehicle traffic conditions. Considering that urban bus probe studies have focused only on the first criterion, this study is designed to examine real-time sensitivity between buses and cars. A generic framework of real-time urban travel time estimation is proposed, followed by a field study in which real-time bus travel information is available and a simulation study that examines the impact of passenger demand on performance of the proposed framework. The study findings provide insights into the feasibility of a real bus probe application in an urban traffic environment. Future studies are desired to explore bus probe performance in nonrecurrent traffic congestion.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Reference22 articles.

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1. Accounting for taxi service conditions in estimating route travel time from floating car data using Markov chain model;Multimodal Transportation;2024-12

2. Real-Time Urban Traffic Monitoring Using Transit Buses as Probes;Transportation Research Record: Journal of the Transportation Research Board;2024-07-25

3. Transit Arrival Time Prediction Using Interaction Networks;IEEE Transactions on Intelligent Transportation Systems;2023-04

4. The Importance of Google Maps for Traffic in Calculating the Level of Service for the Road and Traffic Delay;IOP Conference Series: Materials Science and Engineering;2021-02-01

5. Traffic Speed Estimation Based on Multi-Source GPS Data and Mixture Model;IEEE Transactions on Intelligent Transportation Systems;2021

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