Abstract
A microscopic two-level simulation modeling framework is proposed to analyze both decision-making processes at a crosswalk as well as physical interactions among pedestrians when they cross a street. The model at the higher level is based on Decision Field Theory to represent the psychological preferences of pedestrians with respect to different route choice options during their deliberation process after evaluating current surroundings. At the lower level, physical interactions among pedestrians and consequent congestions are represented using a Cellular Automata model, in which pedestrians are allowed biased random-walking without back step towards their destination that has been given by the higher level model. A typical crosswalk with split sidewalks in the Chicago Loop Area is employed as a case study, which has been implemented in AnyLogic® software. Weekday pedestrian counts on the 15-minute basis near the studied crosswalk have been collected and used to construct and validate the simulation models. Experiments have been conducted to investigate the impact of corresponding environment parameters, such as pedestrian types and green/red phase length, on the average pedestrian waiting time at the crosswalk. Initial results look quite interesting. An extension on coupling the proposed pedestrian model with a transportation simulation model is also briefly discussed.
Original language | English (US) |
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State | Published - 2011 |
Event | 61st Annual Conference and Expo of the Institute of Industrial Engineers - Reno, NV, United States Duration: May 21 2011 → May 25 2011 |
Other
Other | 61st Annual Conference and Expo of the Institute of Industrial Engineers |
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Country/Territory | United States |
City | Reno, NV |
Period | 5/21/11 → 5/25/11 |
Keywords
- Cellular automata
- Decision field theory
- Hierarchical model
- Pedestrian decision making
- Urban traffic modeling
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering