The Comparative Study of Engine Vehicles Functioning With Petrol and Liquefied Petroleum Gas

Stoica, Ramona Monica; Radulescu, Marian Eduard; Dinu, Irinel; Ene, George; Neagu, Daniel; Copae, Ion

doi:10.1007/978-3-319-27276-4_26

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…To estimate FC f , through Equations ( 3)-( 5), the values shown in Table 1 are suggested based on an extended literature review [15][16][17][18][19][20]. To estimate the cost of pollutant emissions CPE, the pollutants must first be defined, as well as the types of fuel consumed by the vehicles in the network.…”

Section: Cost Of Fuel Consumptionmentioning

confidence: 99%

Connected Intelligent Transportation System Model to Minimize Societal Cost of Travel in Urban Networks

Koukounaris,

Stephanedes

2023

Sustainability

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The increasing societal cost of vehicle travel in urban networks is causing higher social and environmental impacts on road users and urban residents. The societal cost of travel can be reduced through implementation of more efficient traffic management solutions, deeper integration of connected vehicles in the traffic stream, and increased deployment of vehicle-to-infrastructure (V2I) systems. This work proposes an innovative traffic management solution, based on Urban Connected Intelligent Transport Systems. The solution dynamically manages traffic by controlling for speed and acceleration in connected vehicles through V2I to minimize societal cost in urban networks. This is achieved by minimizing all four components of societal cost of travel, i.e., traffic accidents, fuel consumption, pollutant emissions and travel time. By minimizing societal cost, this research contributes to safer, greener and more sustainable transport in urban networks, while reducing the adverse environmental and economic impact. Experimental and field data as well as data from simulation were used to test the proposed solution at an urban coastal area in Patras, Greece.

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Section: Cost Of Fuel Consumptionmentioning

confidence: 99%

Connected Intelligent Transportation System Model to Minimize Societal Cost of Travel in Urban Networks

Koukounaris,

Stephanedes

2023

Sustainability

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“…Section S1: Fuel consumption rate for the idle state; Section S2: CO 2 emission rates; Table S1: Units of V m for the fuel consumption estimation during the state of "Cruising at speed V"; Table S2: Parameter values for the fuel consumption estimation per fuel/vehicle type; Table S3: Constant values for CO 2 emissions' estimation per fuel/vehicle type; Table S4: Locations and operation of traffic lights in the section under study of the Othonos-Amalias Avenue in Patras, Greece; Table S5: Data of the traffic flow entering the section under study of the Othonos-Amalias Avenue in Patras, Greece; Table S6: Data of the turning percentages exiting the section under study of the Othonos-Amalias Avenue in Patras, Greece; Table S7: Data of the service time in the control area under study of the Southern Port of Patras, Greece, per vehicle class; Table S8: Lines and routes of the public city buses of the city of Patras. References [66][67][68][69][70][71] are cited in the supplementary materials.…”

Section: Supplementary Materialsmentioning

confidence: 99%

Dynamic Management of Urban Coastal Traffic and Port Access Control

Marousi,

Stephanedes

2023

Sustainability

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Urban traffic congestion and vehicle/passenger port recurring delays are major obstacles of coastal urban area sustainability. Most research in coastal urban road management has focused on congestion detection without the effective integration of the dynamic interactions with port queueing systems. For securing coastal city environmental, social and economic efficiency, this paper develops and tests a dynamic urban coastal traffic and port management system. The integrated system controls traffic and port gates’ operations based on ITS/C-ITS methodologies. The system integrates dynamic models for congestion detection, using ANN and a parameterized model, on a coastal urban road network that leads to a city port and identifies optimal solutions for road traffic and port queuing gate control. The system communicates with users via connected vehicles and VMS. The system was tested in a coastal urban road leading to Patras Southern Port, Greece, and at port control gates. Field and simulation data were used to assess system performance and social–environmental impacts. The results reveal that the system’s application offers benefits to the individual driver moving towards the Port to board a ship (gaining at least 7 min and consuming 0.306 L less fuel) as well as to society (39.72% increase in traffic safety) and environment (1,445,132 g CO2 emission reduction).

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The Comparative Study of Engine Vehicles Functioning With Petrol and Liquefied Petroleum Gas

Cited by 2 publications

References 3 publications

Connected Intelligent Transportation System Model to Minimize Societal Cost of Travel in Urban Networks

Connected Intelligent Transportation System Model to Minimize Societal Cost of Travel in Urban Networks

Dynamic Management of Urban Coastal Traffic and Port Access Control

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