Journal of Jilin University(Engineering and Technology Edition) ›› 2025, Vol. 55 ›› Issue (4): 1287-1297.doi: 10.13229/j.cnki.jdxbgxb.20230682

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Reservation and allocation model considering user cost and utilization of parking space

Xian-min SONG(),Tian-shu ZHAN,Hai-tao LI(),Bo LIU,Yun-xiang ZHANG   

  1. School of Transportation,Jilin University,Changchun 130022,China
  • Received:2023-06-30 Online:2025-04-01 Published:2025-06-19
  • Contact: Hai-tao LI E-mail:songxm@jlu.edu.cn;lihait@jlu.edu.cn

Abstract:

In order to alleviate the problem of imbalance between parking supply and demand by improving the utilization rate of parking resources, and considering the game relationship between user benefits and system benefits in parking allocation, the optimization objective function of maximum parking space utilization and minimum user cost in parking reservation mode is established from the two aspects which are system optimization and user optimization respectively. Then, the optimal parking allocation integer programming model(OPA) considering users' preferences is established. An Augmented Lagrangian-Alternating Direction Method of Multipliers Algorithm is designed to solve the optimal solution of the model. Finally, in order to test the validity of the model, the proposed model and the classical distribution model are compared and analyzed under different supply and demand conditions. The results show that the performance of the proposed model in three performance metrics which are parking utilization, average user cost and request acceptance rate is significantly better than that of the classical allocation model. The research results of this paper can provide theoretical reference for the management of parking reservation platform.

Key words: engineering of communication and transportation, parking allocation, integer programming model, augmented Lagrangian-alternating direction method of multipliers algorithm

CLC Number: 

  • U491.5

Fig.1

Parking reservation allocation mechanism"

Table 1

Definitions of variables and parameters"

符号定义
T/h系统中一天的泊位可用总时长
t/min系统设定的单位时段长度
K一天的单位时段个数
k单位时段编号
J/个停车场总数
j停车场编号
N平台租用的泊位总数
n泊位编号
anj停车泊位分布状态,若停车泊位n属于停车场janj=1;否则,anj=0
snk停车供给状态,若停车泊位n在时间间隔k可用,snk=1;否则,snk=0
M*/个停车请求总数
m*停车请求编号
tm*start,tm*end请求m*的停车时段
lm*max/m请求m*的最大可接受步行距离
fm*max/(元·h-1请求m*的最高可接受停车费率
durm*/请求m*的停车时长,durm*=tm*end-tm*start+1
xm*,ym*请求m*的目的地中心坐标
xj,yj停车场j的中心坐标
fj/(元·h-1停车场j的停车费率
pj/(元·d-1平台向停车场j租用泊位时的租金
lm*j/m请求m*的步行距离
M/个分配池中的请求总数
m分配池中的请求编号
dmk用户需求状态,若用户m在时间间隔k有停车需求,则dmk=1;否则,dmk=0
xmn停车分配结果,若用户m被分配到泊位n,则xmn=1;否则,xmn=0
XM×N停车分配矩阵,XM×N=xmn
cmj停车场分配状态,cmj=n=1Nxmn·anj
znk泊位占用状态,znk=m=1Mxnm·dmk

Fig.2

Distribution of users' arrival time and parking duration"

Fig.3

Example of distribution of parking lots and destinations"

Fig.4

Parameter calibration results of δ"

Table 2

Computation results of different strategies"

分配方法评价指标
UπˉA
OPA0.857.680.82
FCFS0.7610.150.69
FBFS0.739.010.72
GPA0.738.250.75

Fig.5

Allocation schemes of different strategies"

Fig.6

Comparative experimental results of different strategies"

Fig.7

Change of Eσ and VARσ with number of requests"

Fig.8

Change of U?and β?with number of requests"

Fig.9

Change of?A?with number of requests"

Fig.10

Comparison of?U?between different?τ"

Fig.11

Impact analysis on utilization level"

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