Modeling sound distribution in the bus passenger area while driving (Modelowane rozkładu dźwięku w przestrzeni pasażerskiej autobusu podczas jazdy)

2020 ◽  
Vol 128 ◽  
pp. 29-36
Author(s):  
Małgorzata Orczyk ◽  
Franciszek Tomaszewski
Keyword(s):  
Public Transport ◽  
Regression Models ◽  
Vehicle Speed ◽  
Passenger Compartment ◽  
Sound Levels ◽  
Gps Device

The article presents the results of noise tests in 18 m Solaris Urbino public transport buses. In the passenger compartment of the tested vehicles, there were ten measuring microphones and a GPS device for measuring vehicle speed. These devices recorded speed and sound levels in the tested buses. The results of the measurements were used to assess the noise in the passenger space of buses and develop regression models for each microphone location. In their algorithms, these models considered vehicle speed and sound levels. The purpose of the tests was to check if the noise in individual microphone locations depends on the cruising speed of the bus and to assess the sound distribution along with the inside space of the vehicle in motion. W artykule przedstawiono wyniki badań hałasu w autobusach komunikacji miejskiej typu Solaris Urbino 18 m. W przestrzeni pasażerskiej badanych pojazdów umieszczono 10 mikrofonów pomiarowych oraz urządzenie do pomiaru prędkości GPS, urządzenia te rejestrowały prędkość jazdy i poziomy dźwięku w badanych autobusach. Na podstawie wykonanych badań oceniono hałas w przestrzeni pasażerskiej autobusów oraz opracowano dla każdej lokalizacji mikrofonu modele regresyjne. Modele te w swoich algorytmach uwzględniały prędkość jazdy i poziomy dźwięku. Celem wykonanych badań było sprawdzenie czy hałas w poszczególnych lokalizacjach mikrofonów zależy od prędkości, z jaką jest realizowana jazda oraz zbadanie rozkładu dźwięku wzdłuż pojazdu podczas jazdy.

scholarly journals Platooning of Autonomous Public Transport Vehicles: The Influence of Ride Comfort on Travel Delay

2019 ◽  
Vol 11 (19) ◽  
pp. 5237 ◽  
Author(s):  
Teron Nguyen ◽  
Meng Xie ◽  
Xiaodong Liu ◽  
Nimal Arunachalam ◽  
Andreas Rau ◽  
...  
Keyword(s):  
Travel Time ◽  
Public Transport ◽  
Autonomous Vehicles ◽  
High Speed ◽  
Ride Comfort ◽  
Light Rail ◽  
Vehicle Speed ◽  
System Delay ◽  
Urban Context ◽  
Travel Delay

The development of advanced technologies has led to the emergence of autonomous vehicles. Herein, autonomous public transport (APT) systems equipped with prioritization measures are being designed to operate at ever faster speeds compared to conventional buses. Innovative APT systems are configured to accommodate prevailing passenger demand for peak as well as non-peak periods, by electronic coupling and decoupling of platooned units along travel corridors, such as the dynamic autonomous road transit (DART) system being researched in Singapore. However, there is always the trade-off between high vehicle speed versus passenger ride comfort, especially lateral ride comfort. This study analyses a new APT system within the urban context and evaluates its performance using microscopic traffic simulation. The platooning protocol of autonomous vehicles was first developed for simulating the coupling/decoupling process. Platooning performance was then simulated on VISSIM platform for various scenarios to compare the performance of DART platooning under several ride comfort levels: three bus comfort and two railway criteria. The study revealed that it is feasible to operate the DART system following the bus standing comfort criterion (ay = 1.5 m/s2) without any significant impact on system travel time. For the DART system operating to maintain a ride comfort of the high-speed train (HST) and light rail transit (LRT), the delay can constitute up to ≈ 10% and ≈ 5% of travel time, respectively. This investigation is crucial for the system delay management towards precisely designed service frequency and improved passenger ride comfort.

scholarly journals KEBIJAKAN PERENCANAAN ANGKUTAN MASSAL DI KOTA BOGOR

2018 ◽  
Vol 1 (2) ◽  
pp. 159-166
Author(s):  
Chrisgerson Rudor ◽  
Muhammad Findi Alexandi
Keyword(s):  
Waiting Time ◽  
Public Transport ◽  
Public Transportation ◽  
Regression Models ◽  
Stated Preference ◽  
Public Facility ◽  
Mass Transportation ◽  
City Bus ◽  
Preference Models ◽  
Stated Preference Models

Density and population of bogor that keeps increasing will add the duty of government to provide more public means of mass. Transportation is a vital public facility. Public transport available in Bogor is a city transportation (public transportation) and buses. The existence of a number of public transportation totaling 3,412 units and 30 units of bus has been able to serve the needs of the community in transportation, but in terms of efficiency and comfort are still far from expected. Based on the results of Stated Preference regression models, we concluded that the most efficient mass transportation is city buses, and the most variable priority attribute passengers on a city bus is the bus occupancy, the bus waiting time efficiency, got a seat, bus convenience and cost/ bus rates. So the recommendation that we can give, the problem due to public transport in bogor can be solved by the means of mass transportation such as city buses. Keywords: Density and population of Bogor, PublicTtransportation, Stated Preference Models

scholarly journals How Eudaimonic Aspect of Subjective Well-Being Affect Transport Mode Choice? The Case of Thessaloniki, Greece

2019 ◽  
Vol 8 (1) ◽  
pp. 9 ◽  
Author(s):  
Panagiotis Vaitsis ◽  
Socrates Basbas ◽  
Andreas Nikiforiadis
Keyword(s):  
Mental Health ◽  
Public Transport ◽  
Regression Models ◽  
Mode Choice ◽  
Well Being ◽  
Subjective Well Being ◽  
Physical And Mental Health ◽  
Transport Mode ◽  
Self Confidence ◽  
The City

In recent years, the relationship between transportation and subjective well-being has been a major subject. Well-being is a factor that can affect travelers’ psychology and transport mode choice. For this reason, policymakers have attempted to improve travelers’ subjective well-being and promote sustainable modes of transport. For a better understanding of these factors, a questionnaire-based survey was conducted to identify the travel eudaimonia aspect of subjective well-being (comfort, safety, autonomy, self-confidence, physical, and mental health), for the various means of transport in the city of Thessaloniki. During the survey, 300 valid questionnaires were completed. The collection of the above data was followed by statistical analysis. The aim of the analysis was to identify the factors of travel eudaimonia that contributed to the mode choice. For that reason, four ordinal regression models were developed to determine how travel eudaimonia affected the usage frequency of the four available means of transport in the city of Thessaloniki (i.e., private car, bicycle, public transport, walking). Walking was rated higher than other modes in all factors, whilst cycling was rated high in physical and mental health, self-confidence, and autonomy, but low in comfort and safety. Public transport scored very low in all factors, demonstrating the poor quality of service provided by the city’s public transport. Moreover, from the ordinal regression models’ results, it could be demonstrated that travel eudaimonia factors had a significant role to play in mode choice. Recognizing the impact of these factors on transport mode choice is particularly useful for policymakers, researchers, and engineers, as it helps them to make informed decisions about what improvements are needed to promote sustainable modes of transport (mainly walking, cycling, and secondarily, public transport).

Physical activity accrued as part of public transport use in England

2018 ◽  
Vol 41 (2) ◽  
pp. 222-230 ◽  
Author(s):  
R Patterson ◽  
E Webb ◽  
C Millett ◽  
A A Laverty
Keyword(s):  
Physical Activity ◽  
Logistic Regression ◽  
Confidence Interval ◽  
Public Transport ◽  
Regression Models ◽  
Daily Life ◽  
Active Travel ◽  
Linear Regression Models ◽  
Physical Activity Guidelines ◽  
Logistic Regression Models

Abstract Background Walking and cycling for transport (active travel) is an important source of physical activity with established health benefits. However, levels of physical activity accrued during public transport journeys in England are unknown. Methods Using the English National Travel Survey 2010–14 we quantified active travel as part of public transport journeys. Linear regression models compared levels of physical activity across public transport modes, and logistic regression models compared the odds of undertaking 30 min a day of physical activity. Results Public transport users accumulated 20.5 min (95% confidence interval=19.8, 21.2) a day of physical activity as part of public transport journeys. Train users accumulated 28.1 min (26.3, 30.0) with bus users 16.0 min (15.3, 16.8). Overall, 34% (32%, 36%) of public transport users achieved 30 min a day of physical activity in the course of their journeys; 21% (19%, 24%) of bus users and 52% (47%, 56%) of train users. Conclusion Public transport use is an effective way to incorporate physical activity into daily life. One in three public transport users meet physical activity guidelines suggesting that shifts from sedentary travel modes to public transport could dramatically raise the proportion of populations achieving recommended levels of physical activity.

scholarly journals KEBIJAKAN PERENCANAAN ANGKUTAN MASSAL DI KOTA BOGOR

2018 ◽  
Vol 1 (2) ◽  
pp. 159-166
Author(s):  
Chrisgerson Rudor ◽  
Muhammad Findi Alexandi
Keyword(s):  
Waiting Time ◽  
Public Transport ◽  
Public Transportation ◽  
Regression Models ◽  
Stated Preference ◽  
Public Facility ◽  
Mass Transportation ◽  
City Bus ◽  
Preference Models ◽  
Stated Preference Models

Density and population of bogor that keeps increasing will add the duty of government to provide more public means of mass. Transportation is a vital public facility. Public transport available in Bogor is a city transportation (public transportation) and buses. The existence of a number of public transportation totaling 3,412 units and 30 units of bus has been able to serve the needs of the community in transportation, but in terms of efficiency and comfort are still far from expected. Based on the results of Stated Preference regression models, we concluded that the most efficient mass transportation is city buses, and the most variable priority attribute passengers on a city bus is the bus occupancy, the bus waiting time efficiency, got a seat, bus convenience and cost/ bus rates. So the recommendation that we can give, the problem due to public transport in bogor can be solved by the means of mass transportation such as city buses. Keywords: Density and population of Bogor, PublicTtransportation, Stated Preference Models

scholarly journals THE MODE CHOICES AND COMMUTING STRESS: EMPIRICAL EVIDENCE FROM JAKARTA AND DENPASAR

2019 ◽  
Vol 7 (1) ◽  
pp. 68
Author(s):  
Ismatulloh Rosida ◽  
Dyah Wulan Sari ◽  
Amelia Dertta Irjayanti
Keyword(s):  
Logistic Regression ◽  
Public Transport ◽  
Regression Models ◽  
Toll Roads ◽  
Multiple Logistic Regression ◽  
Logistic Regression Models ◽  
High Impedance ◽  
Logistic Regressions ◽  
Using Data ◽  
The Relationship

Jabodetabek and Sarbagita have the highest worker commuter population in Indonesia. However, Jabodetabek has various and larger coverage of public transport than Sarbagita. This study also analyzes the relationship between the usage of specific transport modes and commuting stress. Multiple logistic regression models have been estimated using data of both Jabodetabek Commuter Survey and Sarbagita Commuter Survey. Using logistic regressions, the results show that mode choices, gender, and travel time have a significant effect on commuting stress. The analysis also indicates that both in high impedance and low impedance metropolitans, car commuting is perceived to be more stressful than non-car commuting. In a condition of restricted mode choices, commuters who use cars have a greater probability of commuting stress. Furthermore, the findings of this study imply limitation of car usage and as an evaluation of the policy of opening toll roads as a solution to urban congestion.

scholarly journals Simulation Calculation of Air Conditioning System Under Complex Vehicle Conditions

2021 ◽  
Vol 233 ◽  
pp. 04024
Author(s):  
He Chang ◽  
Lili Cheng
Keyword(s):  
Energy Consumption ◽  
Change Process ◽  
Air Conditioning ◽  
Simulation System ◽  
Vehicle Speed ◽  
Performance Parameters ◽  
Passenger Compartment ◽  
Air Conditioning System ◽  
Joint Simulation ◽  
Simulation Calculation

Based on the Simulink the vehicle air conditioning simulation platform for the whole vehicle is established. The multi model joint simulation system can predict the performance parameters and energy consumption of the air conditioning system under the conditions of different vehicle speed, temperature and humidity. It can coordinate the simulation of the temperature change process inside the passenger compartment with the performance of the air conditioning system.

scholarly journals Research on Operation Characteristics and Safety Risk Forecast of Bus Driven by Multisource Forewarning Data

2020 ◽  
Vol 2020 ◽  
pp. 1-19
Author(s):  
Shejun Deng ◽  
Hongru Yu ◽  
Caoye Lu
Keyword(s):  
Public Transport ◽  
Public Transportation ◽  
Vehicle Speed ◽  
Full Time ◽  
Time Space ◽  
Driving Risk ◽  
Transport Safety ◽  
Fatigue Driving ◽  
Safety Operation ◽  
Operation Characteristics

To prevent and control public transport safety accidents in advance and guide the safety management and decision-making optimization of public transport vehicles, based on the forewarning and other multisource data of public transport vehicles in Zhenjiang, holographic portraits of public transport safety operation characteristics are constructed from the perspectives of time, space, and driver factors, and a prediction model of fatigue driving and driving risk of bus drivers based on BP neural network is constructed. Finally, model checking and virtual simulation experiments are carried out. The result of the research shows that the driver’s fatigue risk during the period of 7 : 00-8 : 00 am is much higher than other periods. When the bus speed is about 30 km/h, the driver fatigue forewarning events occur the most. Drivers aged 30–34 years have the largest proportion of vehicle abnormal forewarning, drivers aged 40–44 years have the largest proportion of fatigue forewarning events, and drivers with a driving experience of 15–19 years have the largest overall proportion of various forewarning events. When the vehicle speed range is (18, 20) km/h and (42, 45) km/h, the probability of fatigue driving risk and driving risk forewarning increases sharply; and when the vehicle speed is lower than 17 km/h or 41 km/h, the probability of fatigue driving risk and driving risk forewarning, respectively, is almost zero. The probability of fatigue forewarning during low peak hours on rainy days is about 30% lower than that during peak hours. The probability of driving forewarning during flat peak hours is 15% higher than that during low peak hours and about 10% lower than that during peak hours. This paper realized for the first time the use of real forewarning data of buses in the full time, the whole region, and full cycle to carry out research. Related results have important theoretical value and practical significance for scientifically guiding the safety operation and emergency management strategies of buses, improving the service level of bus passenger transportation capacity and safety operation, and promoting the safety, health, and sustainable development of the public transportation industry.

scholarly journals Modeling Public Transport Users’ Trip Production in Hawassa City, Ethiopia

2021 ◽  
Author(s):  
Girma Gebre ◽  
Emer Tucay Quezon
Keyword(s):  
Linear Regression ◽  
Public Transport ◽  
Traffic Management ◽  
Regression Models ◽  
Explanatory Power ◽  
Linear Regression Models ◽  
Household Level ◽  
Trip Purpose ◽  
Production Models ◽  
Trip Production

Today, overcrowded public transport demand, resulting in huge costs in an urban area. Similarly, there are a lot of people who use public transport in Hawassa city. This study aimed to develop public transport users' trip production models at the household level. Some socio-economic characteristics and trip detail of the public transport users were collected randomly from the different households through a questionnaire survey. The data gathered was fed into IBM SPSS package version 20 to develop linear regression models. The developed models are associated with trips for purpose and time intervals of trips made. The developed linear regression models, general trips, work trips, educational trips, and trips made before 8:00 AM and after 4:00 PM had good explanatory power. The value of explanatory power comprised of 0.656, 0.722, 0.549, 0.610 and 0.510. These values indicated the explanation power of the socio-economic characteristics on the trips made. It means the daily trips production was significantly affected by the number of working individuals, the different age brackets, cars and motorcycles, and the monthly income per household. The most frequent public transport users’ trips production regarding the trip purpose and time are work trips and occurred after 4:00 PM. This scenario represented a good model developed in this study. Hence, it is suggested that Hawassa city’s traffic management office use the developed models to predict the future trips demand to provide a proper scheme to avoid congestion during the peak hour of the day.

scholarly journals Evaluasi Kinerja Angkutan Umum Di Kota Singaraja

2019 ◽  
Vol 24 (1) ◽  
pp. 32
Author(s):  
Ni Nyoman Triatna ◽  
Herawati Herawati
Keyword(s):  
Public Transport ◽  
Public Transportation ◽  
Vehicle Speed ◽  
Moving Vehicle ◽  
Transport Services ◽  
Seat Comfort ◽  
Urban Public Transport ◽  
Directorate General ◽  
Result Analysis ◽  
Public Transport Services

ABSTRACTTirerc is a serious problem 011 Public transportation in Singaraja city dealing with tire increasingnumber of 111otora;cle lzas declined people interest to use public transport. People feel more comfortable using 111otorcycles for tlzeir daily activities.As the conequense urban public transport seruices in Singaraja lzas not reached local road. Since the rates charged are quite e:xpensive as well. TJ1iere fore people pr~fer to use public private titan transport vehicles. this condition may bring public transportation in Si11garaja get worst. Two methods are carried out to calculate the quality of public transport services first accordance witlz the standards of the Directorate General of Land Transportation Ministry of Transportation and second, utilize tlze nzetlwd of Importance Performance Analysis (IPA). Based on the results due to the standards of tire Directorate General of Land Transportation Ministry of Transportation the city transportation in Singaraja still have good performance. While the result analysis of Importance Pe1formance Analysis (IPA) showed that 15 factor indicators, three factors indecated has a good perfomiance vehicle that is hygiene, driver peiformance and the route, seven factors indicated not important perfonnance and less priority by the transport users such as the walking time to the destination, no need moving vehicle, easily get in and get out the vehicle, additional facilities (music, etc.) and travel cost. The factors are needed to be handling quite serious because it has a less peiformance and very important by respondents such as courteous service, seat comfort, tire physical conditio11 of public transport, vehicle speed and safety in vehicles.Key Words: public transport, services, Singaraja

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