Effect of Proactive Braking on Traffic Flow and Road Throughput
With the emergence of pervasive computing technologiesinto vehicles, driving has moved from an active task of steering towards an interaction or adaptation task withrespect to the driver-vehicle feedback loop. Up to now vehicular interfaces have mostly been evaluated from a single-driver single-car...
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| Published in: | 2009 13th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications pp. 157 - 164 |
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| Main Authors: | , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
Washington, DC, USA
IEEE Computer Society
25.10.2009
IEEE |
| Series: | ACM Conferences |
| Subjects: | |
| ISBN: | 9780769538686, 0769538681 |
| ISSN: | 1550-6525 |
| Online Access: | Get full text |
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| Abstract | With the emergence of pervasive computing technologiesinto vehicles, driving has moved from an active task of steering towards an interaction or adaptation task withrespect to the driver-vehicle feedback loop. Up to now vehicular interfaces have mostly been evaluated from a single-driver single-car viewpoint, however, driving is a more complex task involving – beside the local interaction – the interrelationship between all the cars in a certain community of interest.The question investigated in this research work is how avehicle’s local parameters in a bulk of cars (e. g. vehicle speed, braking parameters) affect the global behavior of this system (traffic congestion, driving speed variation, throughput). To explore this, two traffic models have been developed and simulated using the NetLogo simulation environment.Simulation results have shown that the intercar distance hasa direct impact on both the throughput and the mean triptime. The proactive driving approach using vibro-tactile driver notification followed in the second, advanced model achieved much better results regarding these parameters compared to the simple manual-driven case. Finally, the outcomes legitimate the implementation of a prototype, and the installation of such a technology into a large number of cars in order to provide evidence for the improved traffic flow and decreased probability of traffic accidents in real driving scenarios. |
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| AbstractList | With the emergence of pervasive computing technologiesinto vehicles, driving has moved from an active task of steering towards an interaction or adaptation task withrespect to the driver-vehicle feedback loop. Up to now vehicular interfaces have mostly been evaluated from a single-driver single-car viewpoint, however, driving is a more complex task involving – beside the local interaction – the interrelationship between all the cars in a certain community of interest.The question investigated in this research work is how avehicle’s local parameters in a bulk of cars (e. g. vehicle speed, braking parameters) affect the global behavior of this system (traffic congestion, driving speed variation, throughput). To explore this, two traffic models have been developed and simulated using the NetLogo simulation environment.Simulation results have shown that the intercar distance hasa direct impact on both the throughput and the mean triptime. The proactive driving approach using vibro-tactile driver notification followed in the second, advanced model achieved much better results regarding these parameters compared to the simple manual-driven case. Finally, the outcomes legitimate the implementation of a prototype, and the installation of such a technology into a large number of cars in order to provide evidence for the improved traffic flow and decreased probability of traffic accidents in real driving scenarios. With the emergence of pervasive computing technologies into vehicles, driving has moved from an active task of steering towards an interaction or adaptation task with respect to the driver-vehicle feedback loop. Up to now vehicular interfaces have mostly been evaluated from a single-driver single-car viewpoint, however, driving is a more complex task involving beside the local interaction - the interrelationship between all the cars in a certain community of interest. The question investigated in this research work is how a vehicle's local parameters in a bulk of cars (e. g. vehicle speed, braking parameters) affect the global behavior of this system (traffic congestion, driving speed variation, throughput). To explore this, two traffic models have been developed and simulated using the NetLogo simulation environment. Simulation results have shown that the intercar distance has a direct impact on both the throughput and the mean trip time. The proactive driving approach using vibro-tactile driver notification followed in the second, advanced model achieved much better results regarding these parameters compared to the simple manual-driven case. Finally, the outcomes legitimate the implementation of a prototype, and the installation of such a technology into a large number of cars in order to provide evidence for the improved traffic flow and decreased probability of traffic accidents in real driving scenarios. |
| Author | Riener, Andreas Ferscha, Alois |
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| Keywords | ACC Stop-and-go traffic Trip time Throughput Complex adaptive systems Intercar distance Traffic congestion Vibro-tactile notification |
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| Snippet | With the emergence of pervasive computing technologiesinto vehicles, driving has moved from an active task of steering towards an interaction or adaptation... With the emergence of pervasive computing technologies into vehicles, driving has moved from an active task of steering towards an interaction or adaptation... |
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| SubjectTerms | ACC Adaptive systems Applied computing -- Computers in other domains Applied computing -- Operations research -- Industry and manufacturing -- Command and control Complex adaptive systems Computational modeling Computing methodologies -- Modeling and simulation -- Simulation evaluation Computing methodologies -- Modeling and simulation -- Simulation support systems -- Simulation environments Computing methodologies -- Modeling and simulation -- Simulation types and techniques Feedback loop Intercar distance Pervasive computing Prototypes Road accidents Road vehicles Stop-and-go traffic Throughput Traffic congestion Traffic control Trip time Vehicle driving Vibro-tactile notification |
| Title | Effect of Proactive Braking on Traffic Flow and Road Throughput |
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