考虑混动车NO x 排放工况影响的交叉口信号配时优化模型

doi:10.13229/j.cnki.jdxbgxb.20250034

Abstract

Abstract:

Based on the vehicle specific power（VSP） model， with particular emphasis on the characteristics of plug-in hybrid electric vehicles（PHEVs）， this study proposes NO _x emission factor calculation methods for both charge-depleting and charge-sustaining modes. With the objective of minimizing average per-vehicle NO _x emissions within the intersection area， and subject to constraints including average per-vehicle delay and average number of stops， a signal timing optimization model is established for intersections under mixed traffic environments comprising conventional fuel vehicles and hybrid electric vehicles. Analysis results indicate that the proposed model achieves a 31.29% reduction in average per-vehicle NO _x emissions. Meanwhile， average per-vehicle delay and average number of stops exhibit consistent variation trends with average per-vehicle NO _x emissions， with reduction rates of 43.99% and 28.88%， respectively， outperforming the Webster model which considers only traffic flow conditions. Finally， parameter sensitivity analysis reveals that traffic volume levels， left-turn vehicle proportions， and hybrid vehicle penetration rates exert significant influences on average per-vehicle NO _x emissions. The intersection signal timing optimization method proposed in this study， which balances environmental benefits and traffic efficiency， provides an effective basis for urban traffic management and policy formulation.

Key words: NO _x emissions, intersection signal timing optimization, VSP for fuel and hybrid vehicles, parametric sensitivity analysis

CLC Number:

U491

Xing-hui CHEN,Hao-bing LIU,Xing-hua HU. Intersection signal timing optimization model considering influence of hybrid vehicles NO _x emission conditions[J].Journal of Jilin University(Engineering and Technology Edition), 2026, 56(8): 2137-2149.

Figures/Tables 17

Fig.1

Table 1

Symbolic description of main variables and parameters in model"

符号	说明	单位
i	信号相位的索引	$-$
j	交叉口进口道方向的索引	$-$
$α$	车型的索引， $α = 1$ 时表示小型车， $α = 2$ 时表示大型车	$-$
β	车辆能源类型的索引， $β = 1$ 时表示燃油车， $β = 2$ 时表示混动车	$-$
$D ˉ$	车辆通过交叉口的车均延误	s/pcu
$D i j$	相位i进口道j的车均延误	s/pcu
$E ˉ$	车辆通过交叉口的车均NO _x 排放	g/pcu

Table 1

Table 2

NO x emission factors corresponding to VSP intervals of different types of fuel vehicles"

序号	VSP区间/（kW·t^-1）	NO _x 排放因子/（g·s^-1）
序号	VSP区间/（kW·t^-1）	LDGV	HDDT
1	<-2	0.000 139 501	0.056 210 565
2	［-2， 0）	0.000 459 870	0.072 015 277
3	［0， 1）	0.001 056 453	0.065 285 324
4	［1， 4）	0.001 182 000	0.120 159 943
5	［4， 7）	0.001 344 693	0.155 863 268
6	［7， 10）	0.001 557 108	0.200 919 449
7	［10， 13）	0.001 957 662	0.222 890 678
8	［13， 16）	0.002 641 883	0.256 653 830
9	［16， 19）	0.003 205 142	0.247 436 625
10	［19， 23）	0.002 766 194	0.228 227 500
11	［23， 28）	0.002 080 366	$-$
12	［28， 33）	0.001 501 203	$-$
13	［33， 39）	0.000 487 878	$-$
14	≥ 39	0.000 725 076	$-$

Table 2

Fig.2

Fig.3

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Table 3

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Table 4

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进口道方向		不同车型与能源类型的实际交通量/（辆·h^-1）			饱和流量/（pcu·h^-1）
进口道方向		小型燃油车	大型燃油车	小型混动车	饱和流量/（pcu·h^-1）
南进口	直行	308	92	116	3 265
南进口	左转	26	6	10	1 555
北进口	直行	297	49	112	3 350
北进口	左转	44	36	17	1 430
东进口	直行	33	4	12	3 015
东进口	左转	13	5	5	1 405
西进口	直行	35	7	13	3 020
西进口	左转	101	12	38	3 170

Intersection signal timing optimization model considering influence of hybrid vehicles NO _x emission conditions

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Intersection signal timing optimization model considering influence of hybrid vehicles NO x emission conditions

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Intersection signal timing optimization model considering influence of hybrid vehicles NO _x emission conditions