Seminar on "Personalized Route Planning Based on Driver Preference by Using Improved Discrete Jaya Algorithm"

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Title: Personalized Route Planning Based on Driver Preference by Using Improved Discrete Jaya Algorithm

Ren Wang, Ph.D. Candidate
Macao Institute of Systems Engineering
Macau University of Science and Technology

Room: https://njit.webex.com/join/zhou
ECE, NJIT
Time: 9pm (Wed. night), Nov. 15, 2023

Abstract: At present, most popular route navigation systems only use a few sensed or measured attributes to recommend a route. Yet the optimal route considered by drivers needs be based on multiple objectives and multiple attributes. As a result, these existing systems based on a single or few attributes may fail to meet such drivers’ needs. This work proposes a driver preference-based route planning (DPRP) model.  It can recommend an optimal route by considering driver preference. We collect drivers’ preferences, and then provide a set of routes for their choice when they need. Next, we present an integrated algorithm to solve DPRP, which speeds up the search process for recommending the best routes. Its computation cost can be reduced by simplifying a road network and removing invalid sub-routes. Unfortunately, it performs well on specific or small-scale road networks only but is not suitable for larger and more general ones. An improved discrete Jaya algorithm (IDJaya) is thus presented to solve DPRP, which enhances route planning quality through local search operations. Experimental results demonstrate their effectiveness.

Bio

Ren Wang: He received the B.S. degree in traffic engineering from Qingdao University of Technology, Qingdao, China, in 2015, and the M.S. degree in bridge and tunnel engineering from Guangdong University of Technology, Guangzhou, China, in 2018. He is currently pursuing his Ph.D. degree with Macau University of Science and Technology. His interests are in intelligent transportation systems and algorithm development.


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  • Date: 15 Nov 2023
  • Time: 09:00 PM to 10:10 PM
  • All times are (UTC-05:00) Eastern Time (US & Canada)
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  • 323 MLK Blvd.
  • Newark, New Jersey
  • United States 07102
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  • Starts 01 November 2023 09:54 PM
  • Ends 14 November 2023 09:54 PM
  • All times are (UTC-05:00) Eastern Time (US & Canada)
  • No Admission Charge