Traffic Chaos Research Articles

USERS’ SATISFACTION WITH INTERCITY BUS TERMINAL QUALITY IN LAGOS STATE, NIGERIA

Globally, efficient intercity public transport relies on well-designed and high-quality terminal facilities and services to enhance accessibility, mobility, and safety for passengers and freight. Despite governmental efforts, bus terminals in Nigerian urban areas are becoming hotspots for unregulated activities and traffic chaos. In response, this study investigates users’ satisfaction with Lagos State's intercity bus terminal quality, analysing socio-economic profiles, satisfaction levels with quality of terminal facilities (QoTF) and services (QoTS), and challenges impacting terminal operations. Using a cross-sectional survey, 200 questionnaires were distributed to terminal users, employing a multistage sampling technique. Descriptive (weighted mean analysis) and inferential (multiple linear regression [MLR] analysis) statistics were employed for data analysis. Results indicate that the majority of respondents are male, aged below 40, and permanent terminal users. Satisfaction is noted with 13 out of 24 parameters of QoTF, with top-ranking parameters including parking space, restaurant facilities, and waste disposal facilities. However, dissatisfaction is expressed with 8 out of 14 parameters of QoTS. Least-satisfied QoTS parameters include staff attitudes, passenger safety, and bus service reliability. Top-rated challenges affecting terminal operations are security concerns, sanitation facility deficiencies and insufficient passenger amenities. MLR analysis indicates a significant influence of terminal facilities on overall service satisfaction (F= 2.899, p= 0.000 <0.05). In conclusion, enhancing both terminal facilities and services is crucial for efficient operations in Lagos State's bus terminals. Recommendations include improving security measures, sanitary infrastructure and staff training to address user concerns and enhance satisfaction.

Ideology of Urban Road Transport Chaos and Accident Risk Management for Sustainable Transport Systems

Transport systems are complex systems present in modern cities. The sustainability of all other urban systems depends on the sustainable functioning of urban transport. Various processes occur within transport systems. Road traffic is one of them. At the same time, road traffic is a rather complex process to manage, which is explained by the influence of many different internal and external environmental factors. The unpredictable and chaotic behavior of each vehicle in a traffic flow complicates predicting the transport situation and traffic management. This problem gave rise to several unsolved problems, including traffic congestion and road accident rates. The solution to these problems is connected with sustainably managing transport systems in terms of road traffic. However, numerous regularities between elements within the system should be understood in order to implement the management process. Unfortunately, the results of many previous studies often reflect only partial regularities and have limited functionality. Therefore, a new approach to urban traffic management is needed. As opposed to the existing solutions, the authors of this paper propose to implement management based on the regularities of changes in the chaos of the transport system. In this regard, the purpose of this research is to establish the relationship between road traffic chaos and road accident rates. The general methodological basis of this research is the system approach and its methods: analysis and synthesis. The theoretical studies were mostly based on the theories of chaos, dynamic systems, and traffic flows. The experimental studies were based on the theories of experimental design, probability, and mathematical statistics. To achieve this goal, a profound analysis covered studies on the sustainability of transport and dynamic systems, sociodynamics, and traffic. The authors proposed considering the relative entropy of lane occupancy at signal-controlled intersections as a measure for assessing traffic flow chaos and sustainability. Notably, as the main conclusions, the authors established regularities for the influence of entropy on the kinetic energy of traffic flows and injury risk. It also makes sense to emphasize that the initial data for the experiment were collected via real-time processing of video images using neural network technologies. These technologies will further allow for the implementation of traffic management and real-time forecasting of various events. Ultimately, the authors identified changes in injury risk depending on the level of road chaos. According to the authors, the obtained results can be used to improve the sustainability of urban transport systems. The research identified changes in injury risk depending on the level of road chaos, which could have significant implications for urban traffic management strategies.

WORKING PRINCIPLE AND PERFORMANCE EVOLUTION OF CAMERA-BASED INTELLIGENT SIGNALIZED INTERSECTIONS: SAMSUN CITY, TÜRKIYE EXAMPLE

In the current literature, it is clearly seen that most of the traffic chaos is generally observed at intersections of the urban roads in cities. On the other hand, many current traffic studies and research prove that fixed-time signalized intersections cannot have a good ability to control and manage current traffic flow at signalized intersection legs. For this aim, intelligent intersections were developed and started to be used in many cities all over the world in the last decade. These new intelligent intersection systems suggest dynamic signal times for all intersection legs by using real-time measured traffic data. These systems generally use cameras or loop detectors, which are located in the proper places on a signalized intersection leg and record vehicle movements. Within the scope of this study, a performance comparison was made for before and after the camera-based intelligent intersection applications at three isolated pilot signalized intersections within the scope of the "Smart City Traffic Safety" project, which is one of the largest Intelligent Transportation System projects in Turkey. After the system was activated, it was observed that the drivers had impatient behaviors in the beginning and had difficulty getting used to these new systems. After the signal cycle was regulated with the learning of artificial intelligence, it was seen that the drivers had more patience and more observant behaviors. It was also obtained from the analysis results that these new intelligent systems resulted in an average 16% decrease in control delays and a 20% decrease in vehicle speeds.

IMPLEMENTATION STRATEGY OF STREET VENDORS ARRANGEMENT POLICY

The existence of street vendors (PKL) as one of the informal sectors that is recognized as having advantages compared to other sectors but the fact that the existence of street vendors (PKL) creates new problems such as traffic chaos and loss of the beauty of the city. This research aims at the implementation strategy of Street Vendor structuring policy in the Kadipaten Market of Majalengka Regency, knowing the factors that support or hinder the implementation of local government policies towards Street Vendors in the Kadipaten Market of Majalengka Regency and efforts in the Strategy for implementing the Street Vendor stage policy in the Majalengka Regency Duchy Market. The type of research used is the type of qualitative descriptive research. The informants in this study were the main informants, namely 2 Koperindag employees, the key informants, namely 5 Street Vendors (PKL) and supporting informants, namely 2 communities. Based on the results of the research conducted, the implementation of local government policies towards Street Vendors (PKL) in the Kadipaten Market of Majalengka Regency is still not fully in accordance with Regional Regulation No. 11 of 2010 concerning the arrangement of Street Vendors (PKL) in Majalengka Regency or in other words unsuccessful implementation. This is caused by several problems such as a less strategic place, lack of funds, the adaptation of a new place that emerged that made Street Vendors (PKL) choose to sell again was in the Kadipaten Market of Majalengka Regency, a less strategic place. Efforts in the implementation strategy include human resources, non-human resources, bureaucracy and cooperation.

Development of a Smart Signalization for Emergency Vehicles

As the population increases, the number of motorized vehicles on the roads also increases. As the number of vehicles increases, traffic congestion occurs. Traffic lights are used at road junctions, intersections, pedestrian crossings, and other places where traffic needs to be controlled to avoid traffic chaos. Due to traffic lights installed in the city, queues of vehicles are formed on the streets for most of the day, and many problems arise because of this. One of the most important problems is that emergency vehicles, such as ambulances, fire engines, police cars, etc., cannot arrive on time despite traffic priorities. Emergency vehicles such as hospitals and police departments need to reach the scene in a very short time. Time loss is a problem that needs to be addressed, especially for emergency vehicles traveling in traffic. In this study, ambulances, fire brigades, police, etc., respond to emergencies. A solution and a related application have been developed so privileged vehicles can reach their target destination as soon as possible. In this study, a route is determined between the current location of an emergency vehicle and its target location in an emergency. Communication between traffic lights is provided with a mobile application developed specifically for the vehicle driver. In this process, the person controlling the lights can turn on the traffic lights during the passage of vehicles. After the vehicles with priority to pass passed, traffic signaling was normalized via the mobile application. This process was repeated until the vehicle reached its destination.

P08-09 The promotion of walking through nudging. Evaluation of the app „Time2Walk“

BackgroundWalking is an appropriate mode to increase or maintain the physical activity behavior. However, physically inactive adults often need support in order to increase their physical activity level. The aim of the presentation is to inform about the nudging framework within the app Time2Walk, the recruitment of the study participants for both time points, and the development of the walking behavior over time.MethodsThe study participants were recruited via social media, press releases, advertising material and personal contacts. A pre-post single group study design was applied using an online questionnaire before and after the intervention.The intervention refers to a not so distant dystopian future where the city Graz (Austria) suffers from pollution, traffic chaos as well as climate change. Via regular walking as well as visiting places such as parks or other points of interest the users of the app were rewarded with tokens and could contribute to reversing the pollution. Four different types of behavioral nudges were applied during the use of Time2Walk in order to motivate people to walk more: awareness-raising (information about health and traffic related effects), social (information about guided walking tours), rewarding (token-based rewards), and stabilizing (daily walking targets) nudges.The app was developed as a central hub for conveying the nudges and for raising the players' awareness. By means of Wilcoxon-tests, changes in behavior categories were investigated.ResultsThree hundred and forty seven people registered and 145 (42%) filled in the first questionnaire: 65% women, mean age 32 years (SD ±11) and 57% > high-school certificate. Of those, 31 (21%) filled in the the questionnaire a second time. Based on the stages of the Transtheoretical Model as well as on subjective assessment of the weekly walking behavior participants significantly raised their frequency of walking (20% increased walking from 4 or less days/week to ≥ 5 days/week).ConclusionsDifferent interdisciplinary expertise is essential for the development of the app-prototype including the nudging framework. Despite push-notifications, reminders through the newsletter and social media the response rate was low. In general, the nudging framework was successful in the increase of the perceived walking behavior.

Study on the Water Transport System in the Northern Region of Dhaka; the Capital City of Bangladesh

All the megacities in the world suffer from traffic jam at certain period of the day but in case of Dhaka with addition of traffic jam it also faces total traffic chaos and mismanagement. In different times, Government of Bangladesh took different initiatives to mitigate this issue but the result was futile. Now various megaprojects are underway to reduce the burden on the roads. Northern region of the Dhaka city is a focal point of various megaprojects of the government to diversify the accommodation for the city dwellers which will lead to requirement of various modes of transportation. Mostly unused waterways in and around the northern region can play a significant role here to diversify the transportations. There are ample opportunities to develop a waterways network. The study aims at the development of a sustainable design of a waterbus for the northern region of Dhaka city. The proposed route and the waterbus can ensure the movement of a substantial portions of the people along this region and its surroundings without any hassle and traffic jam. The development of the network will also help to preserve the natural environment along the route.

Mathematical modeling of mixed-traffic in urban areas

Transportation is the means of mobility. Due to the growth in the population, rising traffic on road, delay in the movement of vehicles and traffic chaos could be observed in urban areas. Traffic congestion causes many social and economic problems. Because of the convenience and the quickness, motor-bikes gradually become the main travel mode of urban cities. In this paper, we extend the Lighthill–Whitham–Richards (LWR) traffic flow model equation into the mixed-traffic flow of two entities: car and motor-bike in a unidirectional single-lane road segment. The flow of cars is modeled by the advection equation and the flow of motor-bikes is modeled by the advection-diffusion equation. The model equations for cars and motor-bikes are coupled based on total traffic density on the road section, and they are non-dimensionalized to introduce a non-dimensional number widely known as Péclet number. Explicit finite difference schemes satisfying the CFL conditions are employed to solve the model equations numerically to compute the densities of cars and motor-bikes. The simulation of densities over various time instants is studied and presented graphically. Finally, the average densities of cars and motor-bikes on the road section are calculated for various values of Péclet numbers and mixed-traffic behavior are discussed. It is observed that the mixed-traffic behavior of cars and motor-bikes depends upon the Péclet number. The densities of motor-bikes and cars in the mixed-traffic flow approach the equilibrium state earlier in time for smaller values of Péclet number whereas densities take longer time to approach the equilibrium for the greater values of Péclet number.

Allocating exclusive and intermittent transit lanes in dynamic traffic networks with connected and automated vehicles

Exclusive bus lanes (XBLs) have been widely discussed and implemented worldwide in recent years. An improved and more flexible transit lane management strategy—intermittent bus lanes (IBLs)—prove to be potentially more efficient and car-friendly than XBLs. The common benefit of XBLs and IBLs arises from the fact that they separate the bus and car traffic and hence eliminate the impacts of slowly moving buses on the car traffic. Compared to XBLs, the application of IBLs has not been broadly adopted in the real world so far except very few cases, because managing an urban IBL segment or area typically involves extra traffic signals and message signs and the switch between its regular and protected statuses could potentially cause unexpected traffic chaos and safety issues. The recent emergence of connected and automated vehicle (CAV) technologies, however, favors relieving these concerns and bring the dawn to a future application of this theoretically sound traffic control strategy. This paper is dedicated to evaluating the network performance of XBLs and IBLs and optimizing the networkwide configurations of these two strategies for future urban traffic networks where CAVs prevail. For this purpose, we formulate a system-optimal dynamic traffic assignment (SO-DTA) problem with car-exclusive lane segments, on the basis of a cell transmission model for separate car and bus traffic (CTM-SCB). By limiting its applicable context to morning commute networks and emergency evacuation networks, this model is set with only one real or virtual destination, which greatly eases its modeling and solution complexity. On the basis of the single-destination SO-DTA model, an XBL-based network design problem and an IBL-based network design problem are then both formulated into mixed integer programming models and solved by a discrete optimization solver, where the former problem statically configures bus lanes while the later one allows a dynamic allocation of bus lanes. Insightful findings obtained by applying the models and solver to a synthetic corridor network and a real commute network illustrate the great promise of these two lane-based strategies in mixed car and bus traffic management.

RETRACTED ARTICLE: Intelligent traffic monitoring and traffic diagnosis analysis based on neural network algorithm

Traffic sign recognition and lane detection play an important role in traffic flow planning, avoiding traffic accidents, and alleviating traffic chaos. At present, the traffic intelligent recognition rate still needs to be improved. In view of this, based on the neural network algorithm, this study constructs an intelligent transportation system based on neural network algorithm, and combines machine vision technology to carry out intelligent monitoring and intelligent diagnosis of traffic system. In addition, this study discusses in detail the core of the monitoring system: multi-target tracking algorithm, and introduces the complete implementation process and details of the system, and highlights the implementation and tracking effect of the multi-target tracker. Finally, this study uses case identification to analyze the effectiveness of the algorithm proposed by this paper. The research results show that the proposed method has certain practical effects and can be used as a reference for subsequent system construction.

Phenomenology of being a safe taxi driver

BackgroundIn developing countries, a great number of people typically utilize public transportation such as Taxis. Therefore, taxi drivers have an important role in residents’ well-being and safety. The aim of this study was to describe the subjective experiences and insights on safe driving among taxi drivers in Zanjan, Iran.MethodIn this qualitative study, 17 taxi drivers (23–54 years) were purposefully selected to participate in 11 semi-structured interviews, as well as one focus group (n = 6). The data was then analyzed based on a combination of Braun’s and Colaizzi’s methods.ResultBy analysis of the qualitative data, four main themes emerged from expressed experiences by taxi drivers, including 1) traffic chaos, 2) social prestige, 3) economic pressure, and 3) job satisfaction.ConclusionThe emerging concepts of the present study imply a threefold structure of existence, which introduced by Heidegger, as taxi drivers’ (the self) feelings and experiences of being under pressure of traffic chaos (the world), accompanied by low social prestige, economic pressure and job dissatisfaction (being in). Thus, strategic planning for traffic safety should consider taxi drivers’ needs to feel a friendly world, as well as, to find themselves in a respectful and supportive environment.

An Efficient Security Scheme for Vehicular Communication Using a Quantum Secret Sharing Method

Potential adversary and maliciously-behaved vehicles may cause traffic chaos or even lead to traffic accidents (particularly on traffic congestion crossroads). To address this issue, a novel security scheme is proposed for facilitating an efficient vehicular communication by employing a quantum secret sharing method. In the proposed scheme, the traffic control information is broadcasted regularly and shared among vehicles to reduce traffic congestion, and thus avoiding traffic accidents. Finally, we also demonstrate the superiority performance of our proposed scheme through theoretical and numerical simulation analysis.

When apps rule the road: The proliferation of navigation apps is causing traffic chaos. It's time to restore order

Miguel Street is a winding, narrow route through the Glen Park neighborhood of San Francisco. Until a few years ago, only those living along the road traveled it, and they understood its challenges well. Now it's packed with cars that use it as a shortcut from congested Mission Street to heavily traveled Market Street. Residents must struggle to get to their homes, and accidents are a daily occurrence. The problem began when smartphone apps like Waze, Apple Maps, and Google Maps came into widespread use, offering drivers real-time routing around traffic tie-ups. An estimated 1 billion drivers use such apps in the United States alone. Today, traffic jams are popping up unexpectedly in previously quiet neighborhoods around the country and the world. Along Adams Street, in the Boston neighborhood of Dorchester, residents complain of speeding vehicles at rush hour, many with drivers who stare down at their phones to determine their next maneuver. London shortcuts, once a secret of black-cab drivers, are now overrun with app users. Israel was one of the first to feel the pain because Waze was founded there; it quickly caused such havoc that a resident of the Herzliya Bet neighborhood sued the company.

The planning and construction of a large underpass crossing urban expressway in Shanghai: An exemplary solution to the traffic congestions at dead end roads

To alleviate the increasing pressure from traffic chaos and congestion at peak hours in urban areas, more and more city expressways are constructed to facilitate the transportation. However, due to lacking of integrated traffic planning, massive arterial roads are separated as so called “dead end roads” by the expressways, leading to the inconvenience of commuting, even a sever to the transportation of the local network. In order to solve the problem, this paper investigated the traffic characteristics of dead end roads and the effect of underground crossing project, then proposed an innovative method of construction of large underpass in Shanghai soft ground. The experiences learnt from this project can provide useful references for solutions of dead end roads as follows: (1) The existing of dead end roads has direct influences on the traffic congestions of local roadwork, it’s necessary to take measures to solve the transportation problems induced by it. (2) Underground solution is effective for tackling the problems induced by dead end roads. The commuting time is shortened by 70% and more than 34% of the surficial traffic flow of auxiliary lanes are diverted into the underpass. (3) The underpass can improve traffic conditions of road intersection and adjacent arterial roads. Turning traffic flows at the intersection between Tianlin Road and Mid-Ring Road has a dramatic decline from 65% to 81% and the traffic saturation of adjacent arterial roads has a reduction of about 10%. (4) For the advantages of little impact on traffic and environment, the Roof-box jacking method with earth pressure balanced cutter head is recommended for shallow buried undercrossing project in urban intensive areas.

TRAFFIC CONGESTION IN DHAKA CITY: POTENTIAL SOLUTIONS

The study was conducted to explore the root causes and impacts of current traffic jams and suggest an appropriate strategy to wipe out this problem of Dhaka, the capital of Bangladesh. A mixture of both qualitative and quantitative methodologies was considered for data collection and analysis. The study shown the causes of traffic congestion of Dhaka, namely, inefficacy and poor execution rate of current traffic code of practice, existence of too many regulatory authorities, violation of traffic rules, defective planning of city roads, excessive vehicles, illegal occupancy of roads and footpaths, want of communication set-up and logistic provision, inadequacy of traffic management team and shortage of public vehicles. It was exposed by the study that Dhaka's traffic situation is not friendly for improved living standard. Environmental risks, severe air and sound pollutions and serious loss of public health are the end results of Dhaka's traffic jam. Moreover, both micro and macro economical situation of Bangladesh is being exaggerated due to this problem. The study strongly recommended that an up-to-date and integrated strategy is needed to cope-up the current traffic chaos of Dhaka. Initiation of subway, introduction of road pricing/congestion charge, construction of bypass roads for inter-city connectivity, investment of adequate public money, steps for regain the illegally occupied footpaths, more construction of communication infrastructure, ban of rickshaw and other non-motorized vehicles, increase of public awareness program, logistic support and public bus are identified by the study as potential solutions of Dhaka's congestion. Article visualizations:

Design of a rotary for an uncontrolled multi-leg intersection in Chennai, India

One way to control the traffic at busy intersections is to construct a roundabout or rotary intersection, which is a special type of at-grade intersection, where all converging vehicles are forced to move round a central island in clock-wise direction. The present study aims to design a rotary for an uncontrolled multi leg intersection located in Royapetah in Chennai, India. The intersection has five approach roads with two-way traffic in all the approach roads and there is no signal or traffic police to control the traffic at present and hence experiences traffic chaos during peak hours. In order to design the rotary, it is essential to have the information on traffic volumes coming from the approach roads. For this, a video data collection was carried out for a duration of eight hours from 7.30 am to 11.30 am and from 2.30 pm to 6.30 pm on a typical working day using a handycam from the terrace of an apartment building located near the intersection. During data extraction stage, each 5 min. traffic volume was extracted for all the five classes of vehicles considered and were converted to passenger car units (PCU). The analysis of traffic data showed that during peak hour from 4.45 pm to 5.45 pm, the proportion of weaving traffic, i.e., ratio of sum of crossing streams to the total traffic on the weaving section was found to be 0.81. According to Indian road congress (IRC) guidelines, this proportion can take any value between 0.4 and 1 and in the present study, the calculated value is found to be within the prescribed range. Using the calculated values of average entry width of the rotary and width & length of weaving section, the practical capacity of the rotary was found to be 3020 PCUs which is well above the observed traffic volume of 2665 PCUs.

Trafik Kazaları ve Kader İlişkisi -Dua, Sadaka ve Tevekkül Bağlamında-

Trafikte kargaşa olmaması için konulan kurallar vardır. Bunlara uyulmaması durumunda trafik kazaları denilen üzücü olaylar olabilmektedir. Allah her şeyi bir çeşit sebeplere bağlamış, insan bu sebepleri yerine getirirse Yaratıcı da, kulun özgür iradesine bağlı olarak yaratmaktadır. Bu bir ilâhî kanundur yani kaderdir. Trafik kazaları kaderde var mıdır? Bizim irademizin ve tedbir almamızın etkisi ne kadar? İnsan, başına gelen kazaları dua ve sadaka ile önleyebilir mi? Ecel geldiği için mi kazalarda insanlar ölmektedir? gibi bir çok soru zihinlere gelmektedir. Bu makâlede trafik kazaları ve kaderle ilgili tartışmalar ile çözüm önerileri akaid ve kelâm ilmi çerçevesinde değerlendirilecektir.

Live from London: What's Changed and Why

Gentrification, spiralling rent, economic inequality, traffic chaos – the people of London have come to dread what ‘change’ entails. However, I'm convinced that some things have changed for the better: today's ‘new music scene’ (which I identify as that populated by composers and performers of notated contemporary music, creative improvisers, their concerts, networks and ideas) is radiating a vibrancy that would have been unimaginable 15 years ago. I want to celebrate it.

<I>Great Cities and Their Traffic</I>: Michael Thomson Revisited

This landmark book provided the first serious attempt to examine the problem of traffic in global cities, commenting on its genesis and growth, and arguing that traffic chaos should not be blamed on the car itself or even the population explosion, but on economic growth. Michael Thomson comments on the externalities from traffic, including accidents, environmental pollution, conditions for pedestrians, traffic congestion, off-peak travel, parking, peak demand and other costs, before concluding that the solutions are unaffordable. The main part of the book builds on this more generic analysis of the traffic problem, and it attempts to categorize thirty of the most important cities through a novel fivefold typology that applies a consistent methodology to explore different approaches to tackling traffic problems. Returning to Great Cities and their Traffic after nearly 40 years is a sobering exercise, as the same issues are still being debated, and the range of externalities has increased rather than decreased. Levels of motorization are much higher, and the growth in the size and number of cities is accelerating. There are new debates around resources, sustainability, inequality, urban sprawl and quality of life, and the car is now seen as part of the problem, as cities cannot hope to adapt to the space requirements of unlimited access by car, let alone the externalities created. Other solutions must be sought. This paper takes the Thomson book as a starting point and reinterprets it from a current perspective to establish whether the arguments are still relevant, and then extends the thinking to determine whether cities today can be categorized in one of Thomson's five archetypes.

Business Analytics in Traffic Management System

With increase in population and need of a vehicle as a basic need, the traffic problem is increasing rapidly at an uncontrollable rate. Efficient traffic management systems need to be adopted without which it may lead to a traffic chaos in the upcoming future. The aim is to reduce the traffic management problems especially in India by providing the user an overview of the traffic scenario’s in different parts of the country which will help him to reduce his travel time by avoiding congestions. This project investigates big data analytic tools to analyze the large amount of data collected from traffic management systems and produce patterns that can be used to formulate a full-proof and more efficient traffic management policy that can reduce or totally eliminate vehicular congestion, accidents thus saving precious resources and time. In this system traffic data like videos, number of vehicles, type of vehicles, etc. is used to infer patterns of traffic and congestion.