Applying 3D-eco routing model to reduce environmental footprint of road transports in Addis Ababa City

Environmental Systems Research

Table 5 Eco routes fuel saving potential for each scenario cases (1–3) and accumulated parameter results

Routing scenario and cases	% Fuel savings from fast	% Fuel savings from short	Shortest route			Fastest route			Eco route
Routing scenario and cases	% Fuel savings from fast	% Fuel savings from short	Distance [km]	Time [h]	Fuel [L]	Distance [km]	Time [h]	Fuel [L]	Distance [km]	Time [h]	Fuel [L]
Scenario 1 (Case 1)	39.81	35.91	12.78	0.22	1.44	12.82	0.19	1.54	17.23	0.39	0.92
Scenario 1 (Case 2)	35.43	29.50	386.15	6.05	54.49	393.42	6.05	59.11	473.62	10.91	38.16
Scenario 1 (Case 3)	27.08	23.93	379.06	6.32	34.43	382.59	6.027	35.92	443.53	9.985	26.19
Scenario 2 (Case 1)	10.72	13.91	22.47	0.329	2.57	22.66	0.32	2.48	24.89	0.46	2.21
Scenario 2 (Case 2)	13.20	11.22	737.03	11.80	81.23	750.18	10.71	83.07	816.22	13.93	72.11
Scenario 2 (Case 3)	8.96	9.81	746.00	11.12	54.44	753.61	10.76	53.93	796.29	13.64	49.09
Scenario 3 (Case 1)	19.48	16.28	9.97	0.145	4.49	10.39	0.141	4.67	10.31	0.15	3.76
Scenario 3 (Case 2)	12.79	19.32	176.99	2.84	92.04	179.71	2.63	85.14	192.83	3.08	74.25
Scenario 3 (Case 3)	8.38	12.61	180.80	2.89	41.43	185.26	2.68	39.52	189.50	3.07	36.21