One-way vehicle sharing system scale optimization method based on queuing theory
A vehicle sharing and optimization method technology, applied in the field of one-way vehicle sharing system scale optimization based on queuing theory, can solve the problem that the relationship between system scale and parking occupancy rate is not clearly given, the queuing network cannot accurately describe the real system, loss, etc. question
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Embodiment 1
[0309] Example 1: Set the appointment time T i From 0 minutes to 25 minutes, other input parameters remain unchanged.
Embodiment 2
[0310] Example 2: Increase the vehicle amortized cost and operating cost q from 5 yuan / hour to 25 yuan / hour, in increments of 5 yuan / hour, respectively, the reservation time is 20 minutes, and other parameters remain unchanged. Put the parking lot cost q i From 5 yuan / hour to 17 yuan / hour, in increments of 3 yuan / hour, other input parameters remain unchanged.
Embodiment 3
[0311] Example 3: Set the itinerary price q ij as a potential control variable affecting passenger demand to change the rate matrix R. Assume linear elasticity such that passenger demand is q ij a linear decreasing function of . Therefore, the trip price has a linear elasticity α i (within some fixed period of time), and has a mapping Set the itinerary price q ij to passenger demand r ij The function is defined as:
[0312]
[0313] Among them, assuming linear elasticity α=0.02, r ij is the demand on the corresponding path in the original rate matrix. Set the itinerary price q ijFrom 60 yuan / hour to 132 yuan / hour, other parameters remain unchanged.
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