Journal of Jilin University(Engineering and Technology Edition) ›› 2022, Vol. 52 ›› Issue (3): 564-571.doi: 10.13229/j.cnki.jdxbgxb20200843

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Ride⁃sharing matching model and algorithm of online car⁃hailing under condition of uncertain destination

Hong-fei JIA(),Zi-han SHAO,Li-li YANG()   

  1. College of Transportation，Jilin University，Changchun 130022，China
  • Received:2020-11-03 Online:2022-03-01 Published:2022-03-08
  • Contact: Li-li YANG E-mail:jiahf@jlu.edu.cn;yanglili@jlu.edu.cn

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Abstract:

To improve the situation of high demand and low occupancy rate of taxis， the study focuses on the problem of online ride-sharing. Considering the turnover of passengers， vehicle transportation mileage， travel time， and travel cost， a mathematical model of single-vehicle carpooling matching was established. Based on the principle of fairness and considering the bilateral interests of drivers and passengers， a rate calculation method was proposed. Passenger clustering is conducted with the path fitting degree as its basis. Based on the Dijkstra algorithm， the shortest path algorithm by section with obligatory nodes was proposed. Simulation results show that， compared with the traditional taxi operation mode， online taxi-sharing has a significant effect on improving transportation efficiency and reducing transportation cost.

Key words: engineering of communication and transportation system, urban traffic, ride-sharing, path fitting degree, path optimization

CLC Number: 

  • U492.2

Fig.1

Fitting between passenger′s origin-destination and vehicle route"

Fig.2

Schematic diagram of orderly adjustment of necessary nodes"

Fig.3

Algorithm flow chart"

Fig.4

Road system of study area"

Fig.5

Location of vehicle and passengers"

Table 1

Information of passenger’s requirements"

乘客编号起点及时间窗终点及时间窗
A4，［5，10］48，［29，44］
B10，［30，35］5，［43，53］
C14，［15，20］50，［36，46］
D19，［10，35］39，［31，46］
E23，［20，25］5，［37，52］
F33，［20，30］1，［43，58］
G38，［25，35］51，［47，52］
H44，［15，20］7，［39，54］
I49，［15，20］10，［38，48］
J52，［10，15］13，［32，47］

Table 2

Degree of path fitting"

乘客编号路径拟合度乘客编号路径拟合度
A1.000F-0.079
B0.024G0.225
C0.116H-0.177
D0.353I-0.082
E-0.082J-0.028

Fig.6

Carpooling route"

Fig.7

Complete carpooling route"

Table 3

Comparison between traditional traveldistance and after carpooling"

乘客编号合乘里程/km非合乘里程/km
乘客周转量/（人·km）36.530.7
A9.17.2
D2.32.3
G6.74.5
I7.07.0
F4.44.4
B7.05.3

Table 4

Comparison between traditional travelcost and after carpooling"

乘客编号合乘费用/元非合乘费用/元
总计62.595.7
A11.322.5
D8.08.0
G9.117.2
I12.517.9
F8.012.2
B13.617.9

Fig.8

Effect of passenger clustering"

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