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:: Volume 10, Issue 4 (6-2021) ::
JGST 2021, 10(4): 87-101 Back to browse issues page
Identification and Evaluation of Meeting Points for Ride-sharing Services Using Fuzzy Logic
D. Ahmadi *, A. A. AlSheikh
Abstract:   (398 Views)
Today, in big cities and in the road network, traffic congestion and its management has become a major problem, which results in this traffic congestion in addition to the mental and physical problems it creates for citizens, nothing but increased fuel consumption, increased air pollution and waste. Gone is not time and energy. One of the emerging solutions for traffic and transportation management is the discussion of ride sharing, in which the driver shares the empty seats in his vehicle with people who share a travel and time plan with him, which in addition to reducing The cost and energy that follows for both the passenger and the driver will increase the efficiency of the transportation network and reduce the traffic and the resulting problems. One of the most important issues in shared passenger services is the discussion of meeting points. This is important because in shared passenger services, drivers are looking to reduce the distance traveled and fuel consumption to reach the passenger, from On the other hand, each passenger has a specific time window and many of them want to walk a distance to reach a safe and comfortable place. Since the variables of this research, which include: slope, speed of the passage, width of the passage, distance to the intersection, distance of the passenger and the amount of deviation from the driverchr('39')s path, the variables are continuous, linguistic and inaccurate and is a continuous system. , The use of fuzzy logic is suggested. Therefore, in this study, by combining fuzzy logic and spatial information systems, a solution to identify and evaluate meeting points has been presented. In this study, the study area is the metropolis of Tehran. The results of this study indicate that with increasing the number of available meeting points, the number of suitable meeting points and adaptation rate increases by 15% and also the rate of deviation from the main route for the driver is approximately 14% and the distance traveled by the passenger to reach the point. Meetings are reduced by up to 40%.
Keywords: Ride Sharing, Fuzzy Logic, Meeting Points, Intelligent Transportation
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Type of Study: Research | Subject: GIS
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Ahmadi D, AlSheikh A A. Identification and Evaluation of Meeting Points for Ride-sharing Services Using Fuzzy Logic. JGST. 2021; 10 (4) :87-101
URL: http://jgst.issge.ir/article-1-989-en.html


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Volume 10, Issue 4 (6-2021) Back to browse issues page
نشریه علمی علوم و فنون نقشه برداری Journal of Geomatics Science and Technology