GIS Mapping of Driving Behavior Based on Naturalistic Driving Data
Abstract
:1. Introduction
2. Strategies and Tools
3. Data and Study Area
4. Methodology and Results
5. Benefits
- (a)
- At a macro-level of detail,
- The facilitation of a more general perspective of the driver performance allowing standard and non-standard (or anomalous) driving behavior to be derived.
- The rapid detection of anomalous behavior, such as fast speed driving, abnormal speed changes, slow and/or wrong reactions to hazardous situations, etc.
- The influence of road path on certain kinematic parameters, such as braking, acceleration, and deceleration actions.
- The analysis of driving performance under certain conditions related with particular environments, traffic congestions, weather, etc.
- The establishment of common driving patterns based on different factors, such as daytime, genre, socioeconomic status, etc.
- (b)
- At a micro-level of detail,
- The achievement of a holistic vision of the driving performance for any subject. Thus, it is possible to analyze in detail how certain maneuvers (related to entry/exit in motorways, over-taking, and interactions between drivers and/or pedestrians) really happen. It is shown in Figure 5, where more data layers are sequentially included from left (two in Figure 5a) to right (four in Figure 5c).
- The evaluation of the level of compliance with road signs and the degree of efficiency of awareness campaigns.
- The detection of road sections that are potentially dangerous not only in terms of crashes, but also other incidents, such as near-crashes or anomalous behavior.
6. Discussion and Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Share and Cite
Balsa-Barreiro, J.; Valero-Mora, P.M.; Berné-Valero, J.L.; Varela-García, F.-A. GIS Mapping of Driving Behavior Based on Naturalistic Driving Data. ISPRS Int. J. Geo-Inf. 2019, 8, 226. https://doi.org/10.3390/ijgi8050226
Balsa-Barreiro J, Valero-Mora PM, Berné-Valero JL, Varela-García F-A. GIS Mapping of Driving Behavior Based on Naturalistic Driving Data. ISPRS International Journal of Geo-Information. 2019; 8(5):226. https://doi.org/10.3390/ijgi8050226
Chicago/Turabian StyleBalsa-Barreiro, José, Pedro M. Valero-Mora, José L. Berné-Valero, and Fco-Alberto Varela-García. 2019. "GIS Mapping of Driving Behavior Based on Naturalistic Driving Data" ISPRS International Journal of Geo-Information 8, no. 5: 226. https://doi.org/10.3390/ijgi8050226