Journal of Jilin University(Engineering and Technology Edition) ›› 2026, Vol. 56 ›› Issue (7): 1958-1969.doi: 10.13229/j.cnki.jdxbgxb.20241380

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Twolayer optimization modelling on expressway differentiated tolling for trucks based on benefitcost

Hui-ling ZHANG1,2(),Jing-fan WANG1,Yi-shuo CAO1,3,Gu-chang AO1,2()   

  1. 1.College of Traffic & Transportation,Chongqing Jiaotong University,Chongqing 400074,China
    2.Chongqing Key Laboratory of Intelligent Integrated and Multidimensional Transportation System,Chongqing Jiaotong University,Chongqing 400074,China
    3.Changan Minsheng APLL Logistics Co. ,Ltd. ,Chongqing 401120,China
  • Received:2024-12-31 Online:2026-07-01 Published:2026-08-12
  • Contact: Gu-chang AO E-mail:huilingz@126.com;agc2002@163.com

Abstract:

The different routes traffic flow was calculated and the travel cost function of the expressway was established through analyzing the operation expenditure of expressway and the travel choice willingness of truck drivers. The function is a two-level optimization model, and the upper layer planning selects the idea of road network managers pursuing maximizing the surplus of the network users and takes the financial indexes of the road operating enterprises as the constraints condition, the lower layer planning chooses the user equilibrium model under elastic demand to describe the travel choice behavior of road users. The genetic simulated annealing algorithm was used to solve the model. Finally, using the example verifies that the optimization scheme proposed by the thesis can improve the truck flow of the highway by 20.67%, and the toll revenue is improved by 5.88%, and the truck toll fee is reduced by 135600 yuan/day. It shows that the differentiated optimization of truck charging scheme researched in the thesis has a good application effect in practical implementation.

Key words: expressway, differential toll, two-layer optimization model, genetic simulated annealing algorithm, user equilibrium model

CLC Number: 

  • U491

Fig.1

Percentage of the travel selection factors"

Fig.2

Driver's route selection condition for different highway toll discount"

Fig.3

Traffic flow transfer for different highway toll discount"

Table 1

Fuel consumption parameter coefficient in the highway"

车型abceτ1τ2
一类货车0.002 7-0.309 021.066 70.922 51.001 01.103 4
二类货车0.005 7-0.763 447.190 01.088 60.999 11.263 8
三类货车0.022 4-2.997 1125.931 30.499 11.010 41.222 9
四类货车0.014 0-1.765 786.405 70.908 41.000 71.148 4
五类货车0.013 7-2.180 0108.328 60.719 31.004 11.106 8
六类货车0.014 6-2.075 092.865 61.334 30.997 51.137 1

Table 2

Traffic flow of the two ways in the area"

高速公路名称客车货车(含专项作业车)

交通量/

(veh·d-1

一类二类三类四类一类二类三类四类五类六类
长合高速7 03414520073363764229899901 61511 412
平行竞争性高速14 3242453181105461 1523451 3551372 43620 968

Table 3

Road basic parameters"

参数路段编号
123456
ta0/h0.300.300.710.710.950.95
ya/[·(veh·km)-1]0.540.540.400.40--
la/km23.9023.9056.9356.9376.0676.06
Camax/(veh?d-1)25 00025 00030 00030 00030 00030 000

Table 4

Traffic demand for OD pairs in the net"

OD对起点-讫点各车型交通出行需求/(veh·d-1
一类二类三类四类五类六类
1合川-渝北4729962981 1721192 107
2渝北-合川4369192751 0811101 945

Table 5

Elastic demand calculating results"

各车型收费费率上层目标函数值长合高速公路货车交通量/(veh·d-1
一类二类三类四类五类六类
0.5040.9061.6642.0562.4712.74310 108.814 779

Table 6

Traffic assignment results of the route in the area"

路段交通量/(veh·d-1
一类二类三类四类五类六类
1245517155608621 093
2226477143561571 009
3245517155608621 093
4226477143561571 009
5229479145563561 013
621144213452052935

Table 7

Comparing results between the model and actual traffic flow"

研究方法货车日均流量/(veh·d-1道路利用率/%货车通行费收入/(万元·d-1货车通行费减免/(万元·d-1
传统方法3 95939.8767.21-
本文模型4 77948.1371.1613.56
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