A smart sustainable city is a creative city that employs technology in order to enhance the quality of life and productivity of services while fulfilling different aspects of the lives of current and future citizens. Smart transportation is an essential part of a smart city and is a way of providing innovative services for various modes of transport and traffic management. It enhances security, boosts efficiency and contributes to a greener environment. Smart traffic management aimed to reduce traffic congestion, total waiting time, fuel consumption and air pollution. Controlling and improving traffic light parameters improves traffic volume, which affects crashes, loss of time and delays.
This thesis aimed to take a positive step for smart mobility in Olomouc based on the existing infrastructure. Fixed-time traffic lights are the most common type of traffic signals in Olomouc, which investigating the current system would be more economical. An optimization algorithm is coded in MATLAB in order to achieve the minimum total waiting time and optimum duration of states for a day.
The analysis of results suggests that time-of-day mode control is suitable by offering two scenarios for peak and non-peak periods. The total waiting time for both scenarios enhanced compared to the fixed-time scenario of 1 minute for each state. It was also investigated that by increasing the capacity of the intersection by managing the existing infrastructure, total waiting time per single vehicle would be improved as well. Decreasing the total waiting time makes the system more effective than it is today. In fact, by knowing the density of incoming cars in different directions, we can save a lot of time by programming the crossing. It is expected by decreasing the total waiting time and unnecessary stops at red lights, the air pollution would decrease as well in long term.
Anotace v angličtině
A smart sustainable city is a creative city that employs technology in order to enhance the quality of life and productivity of services while fulfilling different aspects of the lives of current and future citizens. Smart transportation is an essential part of a smart city and is a way of providing innovative services for various modes of transport and traffic management. It enhances security, boosts efficiency and contributes to a greener environment. Smart traffic management aimed to reduce traffic congestion, total waiting time, fuel consumption and air pollution. Controlling and improving traffic light parameters improves traffic volume, which affects crashes, loss of time and delays.
This thesis aimed to take a positive step for smart mobility in Olomouc based on the existing infrastructure. Fixed-time traffic lights are the most common type of traffic signals in Olomouc, which investigating the current system would be more economical. An optimization algorithm is coded in MATLAB in order to achieve the minimum total waiting time and optimum duration of states for a day.
The analysis of results suggests that time-of-day mode control is suitable by offering two scenarios for peak and non-peak periods. The total waiting time for both scenarios enhanced compared to the fixed-time scenario of 1 minute for each state. It was also investigated that by increasing the capacity of the intersection by managing the existing infrastructure, total waiting time per single vehicle would be improved as well. Decreasing the total waiting time makes the system more effective than it is today. In fact, by knowing the density of incoming cars in different directions, we can save a lot of time by programming the crossing. It is expected by decreasing the total waiting time and unnecessary stops at red lights, the air pollution would decrease as well in long term.
Klíčová slova
Smart mobility, fixed-time traffic control, waiting time, peak and non-peak periods, scenarios, optimization
Klíčová slova v angličtině
Smart mobility, fixed-time traffic control, waiting time, peak and non-peak periods, scenarios, optimization
Rozsah průvodní práce
70 p. (21546 words), 2p. code
Jazyk
AN
Anotace
A smart sustainable city is a creative city that employs technology in order to enhance the quality of life and productivity of services while fulfilling different aspects of the lives of current and future citizens. Smart transportation is an essential part of a smart city and is a way of providing innovative services for various modes of transport and traffic management. It enhances security, boosts efficiency and contributes to a greener environment. Smart traffic management aimed to reduce traffic congestion, total waiting time, fuel consumption and air pollution. Controlling and improving traffic light parameters improves traffic volume, which affects crashes, loss of time and delays.
This thesis aimed to take a positive step for smart mobility in Olomouc based on the existing infrastructure. Fixed-time traffic lights are the most common type of traffic signals in Olomouc, which investigating the current system would be more economical. An optimization algorithm is coded in MATLAB in order to achieve the minimum total waiting time and optimum duration of states for a day.
The analysis of results suggests that time-of-day mode control is suitable by offering two scenarios for peak and non-peak periods. The total waiting time for both scenarios enhanced compared to the fixed-time scenario of 1 minute for each state. It was also investigated that by increasing the capacity of the intersection by managing the existing infrastructure, total waiting time per single vehicle would be improved as well. Decreasing the total waiting time makes the system more effective than it is today. In fact, by knowing the density of incoming cars in different directions, we can save a lot of time by programming the crossing. It is expected by decreasing the total waiting time and unnecessary stops at red lights, the air pollution would decrease as well in long term.
Anotace v angličtině
A smart sustainable city is a creative city that employs technology in order to enhance the quality of life and productivity of services while fulfilling different aspects of the lives of current and future citizens. Smart transportation is an essential part of a smart city and is a way of providing innovative services for various modes of transport and traffic management. It enhances security, boosts efficiency and contributes to a greener environment. Smart traffic management aimed to reduce traffic congestion, total waiting time, fuel consumption and air pollution. Controlling and improving traffic light parameters improves traffic volume, which affects crashes, loss of time and delays.
This thesis aimed to take a positive step for smart mobility in Olomouc based on the existing infrastructure. Fixed-time traffic lights are the most common type of traffic signals in Olomouc, which investigating the current system would be more economical. An optimization algorithm is coded in MATLAB in order to achieve the minimum total waiting time and optimum duration of states for a day.
The analysis of results suggests that time-of-day mode control is suitable by offering two scenarios for peak and non-peak periods. The total waiting time for both scenarios enhanced compared to the fixed-time scenario of 1 minute for each state. It was also investigated that by increasing the capacity of the intersection by managing the existing infrastructure, total waiting time per single vehicle would be improved as well. Decreasing the total waiting time makes the system more effective than it is today. In fact, by knowing the density of incoming cars in different directions, we can save a lot of time by programming the crossing. It is expected by decreasing the total waiting time and unnecessary stops at red lights, the air pollution would decrease as well in long term.
Klíčová slova
Smart mobility, fixed-time traffic control, waiting time, peak and non-peak periods, scenarios, optimization
Klíčová slova v angličtině
Smart mobility, fixed-time traffic control, waiting time, peak and non-peak periods, scenarios, optimization
Zásady pro vypracování
Modern societies are struggling with traffic congestion, which negatively affects our standard of living. The monitoring and control of traffic congestion in cities is becoming a major complication in many countries. World economics need a fast and efficient transportation system. The main objective of this study is mitigating congestion by controlling traffic lights cycle structure and duration. Prioritizing intervention vehicles, improving public transportation, reducing air and sound pollution in urban areas are other outputs of this research.
Zásady pro vypracování
Modern societies are struggling with traffic congestion, which negatively affects our standard of living. The monitoring and control of traffic congestion in cities is becoming a major complication in many countries. World economics need a fast and efficient transportation system. The main objective of this study is mitigating congestion by controlling traffic lights cycle structure and duration. Prioritizing intervention vehicles, improving public transportation, reducing air and sound pollution in urban areas are other outputs of this research.
Seznam doporučené literatury
Previous studies or related documentation including books, journal articles and theses
Data from government sources
Data inspection
Seznam doporučené literatury
Previous studies or related documentation including books, journal articles and theses
Data from government sources
Data inspection
Přílohy volně vložené
2 pages Matlab codes
Přílohy vázané v práci
-
Převzato z knihovny
Ano
Plný text práce
Přílohy
Posudek(y) oponenta
Hodnocení vedoucího
Záznam průběhu obhajoby
Tina Pourpakdelfekr presented the results of the diploma thesis Potential of smart city through modeling of single crossing (case study: Olomouc). Student at first of all introduced objectives and methodology of her Master Thesis. Student mentioned also the context of the smart cities. In the second part of the thesis defence, she presented the results and answered the research questions. Committee was familiarized with both reviews from supervisor and reviewer. Discussion followed - student answered the questions mentioned in both reviews and the questions from the members of committee.