scholarly journals Discussion on Road Traffic Problems and “Public Transport Priority” Policy in the Macau Peninsula

2020 ◽  
Vol 08 (04) ◽  
pp. 631-641
Author(s):  
Ziwei Huang
Keyword(s):  
Public Transport ◽  
Road Traffic ◽  
Priority Policy

Road Safety in Developing Countries - The Case of Transportation Management in Dar Es Salaam City

2012 ◽  
Vol 178-181 ◽  
pp. 1806-1814
Author(s):  
Philemon Kazimil Mzee ◽  
Yan Chen
Keyword(s):  
Public Transport ◽  
Traffic Control ◽  
Road Safety ◽  
Road Traffic ◽  
High Growth ◽  
Dar Es Salaam ◽  
Rapid Urbanization ◽  
Policy Objective ◽  
Transportation Management ◽  
Transport Services

Countries of the developing world are characterized by rapid urbanization, high growth rates in traffic and congestion and decreasing regulation of public transport. Because the majority of the developing world's inhabitants are dependent on public transport services for their mobility needs, the need for safe, effective and efficient public transport is essential to ensure adequate, affordable, accessibility and the continuing sustainable development of livelihoods in the rural and urban. Finally, recommendations are made to reduce both the severity and number of public transport accidents in the future. This paper highlights the historical road safety and the transportation management in Dar es Salaam. In the field of road traffic control and management, the primary policy objective is to develop appropriate institutional and organizational arrangement towards further efficient road use.

scholarly journals Behavioural changes in urban mobility in Barcelona due to the COVID-19 pandemic and its impact on air pollution and greenhouse gas emissions

2021 ◽  
Author(s):  
Corinna Peters
Keyword(s):  
Air Pollution ◽  
Greenhouse Gas ◽  
Public Transport ◽  
Road Traffic ◽  
Ghg Emissions ◽  
Urban Transport ◽  
Policy Implications ◽  
Transport Sector ◽  
Urban Mobility ◽  
The City

This study assesses changes in mobility behaviour in the City of Barcelona due the COVID‐19pandemic and its impact on air pollution and GHG emissions. Urban transport is an important sourceof global greenhouse gas (GHG) emissions. Improving urban mobility patterns is therefore crucial formitigating climate change. This study combines quantitative survey data and official governmentdata with in‐depth interviews with public administration officials of the City. Data illustrates thatBarcelona has experienced an unprecedented reduction in mobility during the lockdown (a 90%drop) and mobility remained at comparatively low levels throughout the year 2020. Most remarkableis the decrease in the use of public transport in 2020 compared to pre‐pandemic levels, whereas roadtraffic has decreased to a lesser extent and cycling surged at times to levels up to 60% higher thanpre‐pandemic levels. These changes in mobility have led to a radical and historic reduction in airpollution, with NO2 and PM10 concentration complying with WHO guidelines in 2020. Reductions inGHG emissions for Barcelona’s transport sector are estimated at almost 250.000 t CO2eq in 2020 (7%of the City’s overall annual emissions). The study derives policy implications aimed at achieving along‐term shift towards climate‐friendlier, low‐emission transport in Barcelona, namely how torecover lost demand in public transport and seize the opportunity that the crisis brings for reform byfurther reducing road traffic and establishing a 'cycling culture' in Barcelona, as already achieved inother European cities.

scholarly journals Use of seat belts among public transport drivers in Tacna, Peru: Prevalence and risk factors

2020 ◽  
Author(s):  
Armando Miñan-Tapia ◽  
Gloria S. Torres-Riveros ◽  
José Choque-Vargas ◽  
Madeleyni Aycachi-Incacoña ◽  
Neil Flores-Valdez ◽  
...  
Keyword(s):  
Risk Factors ◽  
Public Transport ◽  
Traffic Accidents ◽  
Linear Models ◽  
Road Traffic ◽  
Seat Belt ◽  
Medical Attention ◽  
Road Traffic Accidents ◽  
Seat Belts ◽  
Intervention Measures

AbstractIntroductionThere are individuals who still refuse to wear seat belts, despite its effectiveness in reducing morbidity and mortality in road traffic accidents. We aimed to determine the prevalence and risk factors according to the use of seat belts among public transport drivers in Tacna, Peru.MethodologyThis analytical transversal study was carried out among public transport drivers (buses and taxis) in a Peruvian city. Questionnaires were used to evaluate the general and occupational characteristics and the use of seat belts (observed). Descriptive statistics and risk factors were obtained, these latter through generalized linear models.ResultsOf the 460 drivers, 77% used their seat belts, with a difference in use depending on the type of public transport (p<0.001). In the multivariate model, the risk of not using the belt was associated with the following: older age (p<0.001), having complete studies (p<0.001), a higher level/category of driving license (3 categories had p<0.001), having a higher number of previous road traffic accidents (p=0.011), and received medical attention in that accident (p<0.001), those who reported using a cell phone while driving (p=0.005), if the co-driver’s belt had 3 anchorage points (p<0.001), and working for > 5 hours that day (p=0.002). However, male drivers and those who had their belt with 3 anchorage points had greater use (both p<0.001).ConclusionsOne in five drivers did not use a seat belt, and important characteristics of those who did not comply with this traffic law were evaluated to generate control and intervention measures.

Performance Comparison of Bus Travel Time Prediction Models across Indian Cities

2018 ◽  
Vol 2672 (31) ◽  
pp. 87-98 ◽  
Author(s):  
Jairam R ◽  
B. Anil Kumar ◽  
Shriniwas S. Arkatkar ◽  
Lelitha Vanajakshi
Keyword(s):  
Travel Time ◽  
Public Transport ◽  
Public Transportation ◽  
Prediction Models ◽  
Road Traffic ◽  
Performance Comparison ◽  
Heterogeneous Traffic ◽  
Transport Systems ◽  
Intelligent Transport System ◽  
Travel Time Prediction

Road traffic congestion has become a global worry in recent years. In many countries congestion is a major factor, causing noticeable loss to both economy and time. The rapid increase in vehicle ownership accompanied by slow growth of infrastructure has resulted in space constraints in almost all major cities in India. To mitigate this issue, authorities have shifted to more sustainable management solutions like Intelligent Transport System (ITS). Advanced Public Transportation System (APTS) is an important area in ITS which could considerably offset the growing ownership of private vehicles as public transport holds a noticeable mode share in several major cities in India. Getting access to real-time information about public transport would certainly attract more users. In this regard, this work aims at developing a reliable structure for predicting arrival/travel time of various public transport systems under heterogeneous traffic conditions existing in India. The data used for the study is collected from three cities—Surat, Mysore, and Chennai. The data is analyzed across space and time to extract patterns which are further utilized in prediction models. The models examined in this paper are k-NN classifier, Kalman Filter and Auto-Regressive Integrated Moving Average (ARIMA) techniques. The performance of each model is evaluated and compared to understand which methods are suitable for different cities with varying characteristics.

Planned Traffic Stability on a Rail Network

2015 ◽  
Vol 809-810 ◽  
pp. 1073-1078 ◽  
Author(s):  
Cristina Ștefănică ◽  
Vasile Dragu ◽  
Ştefan Burciu ◽  
Anamaria Ilie ◽  
Oana Dinu
Keyword(s):  
Public Transport ◽  
Road Traffic ◽  
Discrete Event ◽  
Elimination Rate ◽  
Integrated Network ◽  
Rail Network ◽  
Urban Public Transport ◽  
Private Car ◽  
Event Dynamic ◽  
The Stability

Impetuous multiplication of mobility and road traffic proliferation lead to concerns for increasing the attractiveness of urban public transport. Compared to private car use, urban public transport attractiveness is conditioned, in particular, by travel times and certainty of respecting the transport schedules, meaning planned traffic stability. Traffic schedules are considered to be more stable as the primary delays from the announced schedule have low probabilities and values and their propagation as repeated delays is least noticed in time and space. Solutions for assuring traffic stability must take into consideration contradictory aspects, because introducing time reserves in the schedules means time travel extensions. In order to assure the stability of planned traffic, present paper develops studies of various models and methods that aim to reduce inherent primary delays. Thereby, for studying repeated delays on a complex network, a mathematical model adequate to a Discrete Event Dynamic System (DEDS), that in MAX-PLUS algebra becomes a linear system, was used. The paper concludes with a case study on an integrated network resulted from the superposition of Bucharest’s existing suburban rail network with the underground network designed for 2030, being identified measures for improving the stability indicators. Traffic stability is assessed on the basis of two indicators: instability coefficient and delay elimination rate. Main measure for improving stability indicators is the growth of time reserves taking into consideration the quality requirements resulting from the condition of maintaining a reduced planned travel time.

scholarly journals MTCS: A Method of Analyzing the Traffic Capacity of Urban Bus Lane Based on Vissim Simulation

2021 ◽  
Author(s):  
Hongtao Yuan ◽  
Huizhen Zhang ◽  
Minglei Liu ◽  
Cheng Wang ◽  
Yubiao Pan ◽  
...  
Keyword(s):  
Simulation Model ◽  
Traffic Flow ◽  
Public Transport ◽  
Empirical Formula ◽  
Road Traffic ◽  
The Road ◽  
Traffic Capacity ◽  
Urban Public Transport ◽  
Bus Lane ◽  
Urban Bus

Abstract As an effective method of improving the attractiveness of urban public transport and alleviating urban traffic congestion, bus lanes play an important role in the urban public transport system. The research on the capacity of bus lanes is conducive to improve the operation efficiency of urban bus roads and improve the service level of urban public transport. To obtain the maximum capacity of the bus lane, on one hand, the empirical formula can be used for theoretical calculation, and on the other hand, the simulation model can be established for analysis and verification. Based on the idea of simulation, a method using Vissim is proposed, called MTCS (Minimum Traffic Capacity Substitution Method). The method divides the bus lane into different sections by intersections and stops, establishes simulation model of the bus lane to calculate the traffic capacity of each section such as vehicle speed and flow and select the minimum traffic capacity of the sections as the traffic capacity of the bus lane, which is verified by using the road saturation. The simulation process uses the actual travel speed and traffic flow of the bus lane as evaluation indicators, with the aim of maximizing the road traffic flow while the actual speed of vehicles on the road is close to the desired speed, thus achieving the desired road traffic state. To verify and improve the effectiveness of the method, its analysis results are compared with the empirical formula, and various methods of enhancing traffic capacity are quantitatively simulated. The parameters of the simulation model are set by the actual bus lane example, and the experimental results show that by the methods of modifying the stop-station mode and the signal-lamp cycle, 10% and 14% improvements can be achieved, respectively. This has a good reference value for the construction of bus lanes and the adjustment of road facilities.

scholarly journals Analysis of punctuality and regularity of public transport buses on selected routes of Szczecin and Police

2019 ◽  
Vol 20 (1-2) ◽  
pp. 26-34
Author(s):  
Paweł Regulski ◽  
Karol Abramek
Keyword(s):  
Public Transport ◽  
Management System ◽  
Road Traffic ◽  
Afternoon Peak ◽  
Transport Management

The article presents an analysis of punctuality and regularity of public transport buses on selected routes of Szczecin and Police. Research were carried out in May 2018 on working days in the afternoon transport peak and in November 2018 on working days before the afternoon peak, during the afternoon transport peak and after the afternoon peak based on data from the Central Public Transport Management System They included two bus lines. Research indicated, among others, places of increased road traffic.

China-US driverless tech will transform urban transit

2016 ◽  
Keyword(s):  
Public Transport ◽  
Autonomous Vehicles ◽  
Business Models ◽  
Road Traffic ◽  
The United States ◽  
Harm Minimisation ◽  
Urban Transit ◽  
Content Type ◽  
On Demand ◽  
Transport Services

Significance China and the United States, the world's two largest car markets, are both pursuing leadership in developing autonomous vehicles and the much-touted transformation such transport will bring -- 'social mobility services'. Impacts Governments could save on road traffic infrastructure as a result of self-driving vehicles optimising existing road capacity. On-demand shared transport services will increasingly replace scheduled public transport. Multi-modal medium-distance on-demand public transport will develop, challenging the business models of airlines and railways. Harm-minimisation programming poses ethical and liability issues for driverless vehicle manufacturers, operators and owners.

The effects of autonomous buses to vehicle scheduling system

2020 ◽  
Vol 02 (02) ◽  
pp. 19-23
Author(s):  
Viktor Nagy ◽  
Balázs Horváth
Keyword(s):  
Public Transport ◽  
Autonomous Vehicles ◽  
Basic Problem ◽  
Road Traffic ◽  
Economic Potential ◽  
Scheduling System ◽  
European Cities ◽  
Rest Time ◽  
The One

We are more and more close to the time when a higher number of autonomous vehicles are appearing in road traffic. The number of unanswered questions does not diminish but grow. One such issue is the role of autonomous vehicles in public transport. When talking about autonomous vehicles we often think of only cars and we think less about selfdriving buses. But the economic potential inherent in autonomous buses is huge. In the Hungarian vehicle and crew scheduling practice (and also in other countries) the one driver-one vehicle control is typical. This method closely links the vehicles and the drivers. Vehicles should therefore adapt to the rest time of the crew and the employment rules. Unused reserves are generated in the system. Autonomous vehicles can release this overcapacity. Thanks to that, fewer vehicles can carry out public transport tasks and we can save extra rides. It also provides a solution to the lack of drivers, which is a basic problem in many countries. In our study we show the reserves that can be recovered from the system in the case of three Hungarian cities (Eger, Dunaújváros, Győr). We show how much savings can be achieved by running autonomous buses in European cities with a population of 45 000, 54 000 and 130 000 inhabitants. The results are promising. In smaller cities we could achieve about 20% of economical savings but in bigger cities 40% is also realistic. Our statements are based on only rough calculations and they try to help in preparation for the future.

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