Paper Info
Title
Combining Telecom Data with Heterogeneous Data Sources for Traffic and Emission Assessments-An Agent-Based Approach
Abstract
To create quality decision-making tools that would contribute to transport sustainability, we need to build models relying on accurate, timely, and sufficiently disaggregated data. In spite of today's ubiquity of big data, practical applications are still limited and have not reached technology readiness. Among them, passively generated telecom data are promising for studying travel-pattern generation. The objective of this study is twofold. First, to demonstrate how telecom data can be fused with other data sources and used to feed up a traffic model. Second, to simulate traffic using an agent-based approach and assess the emission produced by the model's scenario. Taking Novi Sad as a case study, we simulated the traffic composition at 1-s resolution using the GAMA platform and calculated its emission at 1-h resolution. We used telecom data together with population and GIS data to calculate spatial-temporal movement and imported it to the ABM. Traffic flow was calibrated and validated with data from automatic vehicle counters, while air quality data was used to validate emissions. The results demonstrate the value of using diverse data sets for the creation of decision-making tools. We believe that this study is a positive endeavor toward combining big data and ABM in urban studies.
Year
DOI
Venue
2022
10.3390/ijgi11070366
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
Keywords
DocType
Volume
ABM, air quality, big data, big data GIS applications, CDR, telecom data, data-driven decision-making, emission, traffic, urban studies
Journal
11
Issue
ISSN
Citations 
7
2220-9964
0
PageRank 
References 
Authors
0.34
0
9
Name
Order
Citations
PageRank
Nastasija Grujic100.34
Sanja Brdar200.68
Sjoukje Osinga300.34
Gert Jan Hofstede400.34
Ioannis N. Athanasiadis535244.44
Milos Pljakic600.34
Nikola Obrenovic700.34
Miro Govedarica800.34
Vladimir Crnojevic901.01