Pilot Study of Using Google Traffic Data to Assess Conditions for Public Transport Operation on Urban Roads
- Resource Type
- Conference
- Authors
- Douskova, Nikol; Novotny, Vojtech; Richter, Petr; Jirmanova, Marketa
- Source
- 2022 Smart City Symposium Prague (SCSP) Smart City Symposium Prague (SCSP), 2022. :1-5 May, 2022
- Subject
- Computing and Processing
General Topics for Engineers
Transportation
Smart cities
Roads
Internet
Reliability
Automobiles
Task analysis
Google traffic data
public transport
public transport priority
traffic flow characteristics
- Language
- ISSN
- 2691-3666
Fast and reliable public transport is one of the pillars of sustainable urban mobility. Creating good conditions for its operation in urban road network is a fundamental task for transport engineers. The PREFOS Research Group has long been involved in evaluating the conditions for public transport operation in urban roads. One of the key parameters is the impact of the car traffic flow on public transport operation. This paper describes a pilot study of the possibility of using Google traffic data to evaluate the characteristics of traffic flow and its comparison with the achieved travel speed of public transport in a given section. This pilot study is part of a broader research plan to develop a comprehensive method for evaluating the conditions for public transport operations on a street network.