Optimizing Algorithm for Allocating Passengers in Shared Taxis
- سال انتشار: 1400
- محل انتشار: نشریه بین المللی مهندسی حمل و نقل، دوره: 9، شماره: 1
- کد COI اختصاصی: JR_IJTE-9-1_005
- زبان مقاله: انگلیسی
- تعداد مشاهده: 168
نویسندگان
Professor, School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran
School of Civil Engineering, Iran University of Science and Technology
Department of Civil -Transportation Planning and Engineering, Imam Khomeini International University
School of Civil Engineering, Iran University of Science and Technology
چکیده
The issue of sharing vehicles has been riding since the '۷۰s, but the advent of smartphones has made it a competitive choice to other transportation modes in recent years. The lack of restrictions on the movement of Internet-based passenger sharing systems leads to patrolling numerous personal vehicles in the network; this exacerbates congestion in high-traffic areas. On the other hand, the significant presence of circulating taxis and their non-optimal performance have disrupted the normal flow of traffic during peak hours and have led to an increase in travel time. This paper outlines a novel optimization algorithm for sharing repetitive and pre-planned trips. This algorithm is implemented on the midtown area network of Manhattan, New York, USA. Three scenarios were defined to simulate common services' status with the base scenario (do-nothing), which makes comparing possible with indicators such as distance travelled, and taxi occupancy ratio determined by passenger coefficient. Results of the first scenario - sending the nearest car - shows a decrease of ۱۰.۵۱%, the second scenario - allocating passengers to the nearest taxi - shows an increase of ۱۰.۱۶%, and finally the third scenario - the proposed algorithm - shows an increase of ۲۵.۵۶% in total mileage compared to the base scenario. Moreover, by defining Sharing Importance Factor (SIF) and using the proposed algorithm, it is possible to organize round-trip taxis, service repetitive and pre-planned trips, and significantly reduce the distance travelled throughout the network, and finally increase the passenger coefficient.کلیدواژه ها
Taxi Sharing, Allocation of Passengers, Optimization algorithm, Manhattanاطلاعات بیشتر در مورد COI
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