ITINERARY PLANNING FOR PERSONAL INTERCITY TRIP IN TRANSPORTATION NETWORKS BY GENETIC ALGORITHM

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

AZIZI ALI; KARIMIPOUR FARID; Esmaeily Ali

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Transportation Engineering Year:2016 | Volume:7 | Issue:2 Page(s): 263-276

Download Full-Text

Persian Verion

View:

1,253

Download:

Cites:

Information Journal Paper

Title

ITINERARY PLANNING FOR PERSONAL INTERCITY TRIP IN TRANSPORTATION NETWORKS BY GENETIC ALGORITHM

Author(s)

AZIZI ALI | KARIMIPOUR FARID | Esmaeily Ali | Issue Writer Certificate

Keywords

ITINERARY PLANNINGQ1

PUBLIC TRANSPORTATION NETWORKSQ2

TIME DEPENDENTQ2

GENETIC ALGORITHMQ2

Abstract

In this study, planning of activity-based personal trips in the PUBLIC TRANSPORTATION NETWORKS that is of importance for tourist is developed. PUBLIC TRANSPORTATION NETWORKS are organized by time-dependent models. In this model the edge-weight is not constant and time-dependency of departure. Since trip planning has combinational nature and is optimization, therefor it is modeled with GENETIC ALGORITHM. This algorithm is among the ways which use meta-heuristic search in order to find optimum solution. In this study structure is proposed that receives the raw data of day and time of the trip, the favorite cities of the traveler with their priority rating, the duration of activity in a particular city and its timing along with selected transportation networks from the traveler and designs trip planning in a way that in the allocated time the traveler gets the highest benefit rate of their visit and activity in the chosen cities. Among the purposes of this study are: modeling of personal activities, tip planning with the aims of optimize the time of trip and evaluating the proposed structure. In order to evaluate the proposed framework a series of data from timetables of transportation network of 15 Iran province centers for three transport networks: airplane, bus and train for travelling in the selected cities were collected and frameworks along with modeling were evaluated. So for its evaluation 50 trips with different starting time and tour duration were performed that in average have relative error 5.2%.

Cites

No record.

References

No record.

Cite

APA: Copy

AZIZI, ALI, KARIMIPOUR, FARID, & Esmaeily, Ali. (2016). ITINERARY PLANNING FOR PERSONAL INTERCITY TRIP IN TRANSPORTATION NETWORKS BY GENETIC ALGORITHM. JOURNAL OF TRANSPORTATION ENGINEERING, 7(2), 263-276. SID. https://sid.ir/paper/224055/en

Vancouver: Copy

AZIZI ALI, KARIMIPOUR FARID, Esmaeily Ali. ITINERARY PLANNING FOR PERSONAL INTERCITY TRIP IN TRANSPORTATION NETWORKS BY GENETIC ALGORITHM. JOURNAL OF TRANSPORTATION ENGINEERING[Internet]. 2016;7(2):263-276. Available from: https://sid.ir/paper/224055/en

IEEE: Copy

ALI AZIZI, FARID KARIMIPOUR, and Ali Esmaeily, “ITINERARY PLANNING FOR PERSONAL INTERCITY TRIP IN TRANSPORTATION NETWORKS BY GENETIC ALGORITHM,” JOURNAL OF TRANSPORTATION ENGINEERING, vol. 7, no. 2, pp. 263–276, 2016, [Online]. Available: https://sid.ir/paper/224055/en

Related Journal Papers