Household Activity Pattern Problem with Autonomous Vehicles

2021 ◽  
Author(s):  
Yashar Khayati ◽  
Jee Eun Kang ◽  
Mark Karwan ◽  
Chase Murray
Keyword(s):  
Activity Pattern ◽  
Autonomous Vehicles ◽  
Household Activity ◽  
Household Activity Pattern Problem ◽  
Pattern Problem

scholarly journals Alternative Activity Pattern Generation for Stated Preference Surveys

2018 ◽  
Vol 2672 (47) ◽  
pp. 135-145
Author(s):  
He He ◽  
Bilge Atasoy ◽  
J. Cressica Brazier ◽  
P. Christopher Zegras ◽  
Moshe Ben-Akiva
Keyword(s):  
Activity Pattern ◽  
Autonomous Vehicles ◽  
Stated Preference ◽  
Activity Patterns ◽  
Pattern Generation ◽  
Hill Climbing ◽  
Local Optima ◽  
Hill Climbing Algorithm ◽  
Best Response ◽  
Hypothetical System

We present a systematic method for generating activity-driven, multi-day alternative activity patterns that form choice sets for stated preference surveys. An activity pattern consists of information about an individual’s activity agenda, travel modes between activity episodes, and the location and duration of each episode. The proposed method adjusts an individual’s observed activity pattern using a hill-climbing algorithm, an iterative algorithm that finds local optima, to search for the best response to hypothetical system changes. The multi-day approach allows for flexibility to reschedule activities on different days and thus presents a more complete view of demand for activity participation, as these demands are rarely confined to a single day in reality. As a proof-of-concept, we apply the method to a multi-day activity-travel survey in Singapore and consider the hypothetical implementation of an on-demand autonomous vehicles service. The demonstration shows promising results, with the algorithm exhibiting overall desirable behavior with reasonable responses. In addition to representing the individual’s direct response, the use of observed patterns also reveals the propagation of impacts, that is, indirect effects, across the multi-day activity pattern.

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