NDLI: A multiagent system for simulating pedestrian-vehicle interaction

Content Provider	IEEE Xplore Digital Library
Author	Chang-Han Yu Liu, A. Pei-Chuan Zhou
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan (Liu, A.; Pei-Chuan Zhou) \|\| Software Dept. I, GemTek Technol. Co., Ltd., Hsinchu, Taiwan (Chang-Han Yu)
Abstract	The interaction between pedestrians and vehicles is most critical when a pedestrian tries to walk across a street. The section for a pedestrian to walk across the street is a conflict region if a vehicle is approaching that area where traffic lights are needed in order to protect pedestrians and also allow a smooth traffic flow. This research uses a multiagent method to build a simulation system to monitor how traffic lights affect the interaction between pedestrians and vehicles. By using agents, different kinds of pedestrians in different age and gender groups can be created to show a more realistic scenario of pedestrian reactions on the street. Agents control individual vehicles to simulate different driving possibilities. By using this system, we can adjust traffic lights differently to see how effective traffic lights can be set. By using agents, different research results on pedestrian models or vehicle models can be implemented independently and can be integrated in simulation. In addition, agents can also carry personal preferences to behave differently under different circumstances.
Starting Page	359
Ending Page	364
File Size	408756
Page Count	6
File Format	PDF
ISBN	9781479938407
DOI	10.1109/SMC.2014.6973934
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicles Legged locomotion Mathematical model Safety Delays Load modeling Risk management traffic lights multiagent system pedestrian simulation vehicle simulation pedestrian-vehicle interaction
Content Type	Text
Resource Type	Article

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