Road Transport System Research Articles

An experimental study for the decision-making support of shared transport options in Western Australia

The road transport systems have a direct impact on both passenger and freight movements, leading towards negative environmental effects plus economical and societal costs. It has reached an alarming level. Afford to purchase more than one vehicle by an individual who can pay for it may solve the transportation problem for them; however, not everyone has a personal vehicle for movement. Moreover, providing public transport facilities to everyone on a demand basis or on time basis is not possible for several reasons. Further, personal or commercial vehicles are not being used all the time or not carrying passengers in full though it can afford with the number of seats available. One possible solution is to share these vehicles for minimising the number of vehicles and to ensure the effective use of vehicles. Thus, the shared transport systems, such as ride-sharing, car-sharing, car-pooling, or bike-sharing are the promising choice to facilitate good accessibilities to the city or urban living population, especially in a densely populated area. In this paper, we have worked with such shared transport options by collecting data through an online survey and analysed data in various ways. We have also designed and developed a decision support system for this data to offer the city planners in Western Australia to make informed decisions about the future transportation systems for their people. Finally, we have predicted on the use of rail transport, for example, how a train station can be used to facilitate the shared transport options for better accessibility.

Regional passenger motor transport systems: problem statement, first estimation results

Relevance. Passenger road transport in the 90s of the last century showed a high rate of transition to new management methods. The subsequent streamlining of activities progressed unevenly, mainly through regulation. However, important problems in the development of the industry, especially in the regions, have not been resolved. A crisis situation in intra-regional inter-municipal transportation and a high accident rate are the example. To a large extent, this situation is caused by the lag of the modern interpretation of the regional passenger road transport system from its real state, which does not allow achieving the greatest effect in the development of passenger road transport. The purpose of the work is to increase the importance of regular passenger transportation based on the substantiation of the importance of the structural parts of regional passenger motor transport systems, the developed methodology for assessing their condition, and creating development rules taking this into account.Materials and methods. General scientific methods of analysis and synthesis, system analysis, mathematical statistics, as well as the provisions of the theory of transport processes and systems are used in the work. Modern general scientific software products, open information resources about passenger vehicles in the regions were used.Results. The main scientific result of the article is the introduced concept of a regional passenger motor transport system. For a quantitative assessment of its condition, an indicator of the level of system self-organization has been developed, which is determined by the ratio of the number of cars to the number of buses, trolleybuses and trams in the region. The values of the indicators are in the range from 74 to 543 with an average value of 277. The dependencies of the influence of gross regional products and the number of population in the regions on the number of buses and cars in them are revealed. The practical significance lies in the development of tools for assessing the state of regional passenger transport systems. The directions for further research to determine the influence of structural parts on the level of self-organization of the system, building on this basis effective regional strategies for the development of passenger road transport are related.

AN ASSESSMENT OF VEHICULAR TRAFFIC CONGESTION ALONG ABUJA-NASARAWA ROAD WITH EMPHASIS ON KARU BRIDGE TO AYA INTERCHANGE

Traffic congestion poses a substantial challenge to efficient road transportation, impacting travel times, fuel consumption, and overall productivity. The Abuja-Nasarawa Road, a critical transportation corridor, faces persistent congestion issues attributed to factors such as increased vehicle numbers, inadequate infrastructure, and poor traffic management. The escalating traffic congestion along Abuja-Nasarawa Road adversely affects the region's productivity and economic development. This study aims to analyze the traffic congestion along the Abuja-Nasarawa Road to improve decision-making regarding road use and transportation system planning. The research design combines qualitative and quantitative methods, utilizing a questionnaire and traffic data collection. The study focuses on the AYA Interchange – Karu Bridge section of the road, a critical stretch facing congestion issues. The methodology involves traffic data collection, including vehicle counts, traffic volumes, and average speeds. Results indicate varying traffic flow rates during morning and evening peak hours. Karu Bridge experiences the highest traffic congestion, with a flow rate of 5433 vehicles per hour during the morning. The qualitative analysis reveals the distribution of road users, with 40% being commercial drivers. The findings reveal a prevalence of traffic congestion attributed to the concentration of economic activities in the city center, leading to increased commuter influx. The study recommends measures such as maintaining and expanding the road network, introducing alternative transportation like a railway service, and completing infrastructure projects like the Apo-Karshi Road.

Transportation network analysis and hub identification for exporting agricultural products

Agriculture products are one of the main income sources of developing countries. This study analyzes the road transport system (network) to reveal the network’s structural properties and identifies hubs that consolidate agricultural products to export to China via the China-Laos railway. Analysis of 20 provinces in the Northeast of Thailand has found that the network has 340 districts connected by 1,015 transport routes. The network is sparse, in which all districts cannot be connected to each other. The network has low connectivity efficiency but has high intra-connectivity among districts in the same province. In addition, the network has a modularity structure that can develop the communities. Hubs consolidating agricultural products of the region are Na Khu, Kuchinaria, Mueng Chiyaphum, Nam Phong, Na Wa, Mueang Mukdahan, Prasat and Rasi Salai. The findings of the study draw implications for the government, sector and exporters to design and improve their operations and services.

Are crash causation studies the best way to understand system failures – Who can we blame?

The search for common and serious single causes of road crashes naturally leads to a concentration on the road user. This is supported by a legal framework in the search for the main cause and the suspect for this cause.In prevention, we havefor decades been more inclined to look for systematic improvements of all elements of the road transport system, and we direct the recommendations for actions towards system designers, organizations, products and services.In this paper the discussion about causation and prevention is broadened in the light of Vision Zero and its approach to prevention of serious and fatal injuries. We also discuss the Swedish judicial system and why the prevention approach has not been legislated or even generally accepted. Occupational health and safety legislation and road rules are compared, as well as how sustainability practices and reporting are tools to apply prevention where organizations have a natural sphere of influence that could mitigate deaths and serious injuries within value chains.It is recommended that we stop using the term causation as it is only directing actions in one direction. There is a risk that the focus on causation, in particular single causes, will deviate actions away from robust prevention countermeasures such as increased seat belt use, relevant speed limits, and well functioning roundabouts and median barriers. Furthermore, there is also a risk that important preventative actions from organizations are overlooked.

Analisis Fluktuasi Jumlah dan Karakteristik Penumpang Bus Trans Jogja Kondisi Sebelum, Selama, dan Setelah Covid-19

Trans Jogja Urban Public Transportation is a form of reform of the subsidized road transport system in the Special Region of Yogyakarta, which has served the Yogyakarta Urban Area since 2008. Trans Jogja Buses have served 25 sub-districts, with a fleet of 128 buses subsidized by the DIY Regional Government and 44 buses subsidized by the Ministry of Transportation of the Republic of Indonesia. When the COVID-19 pandemic hit in 2020-2021, there was a decrease in people's movements, resulting in a decrease in Trans Jogja Bus passengers. This study aims to analyze the fluctuations of passengers and compare the characteristics of the Trans Jogja Bus passengers in conditions before COVID-19 (in 2019), during COVID-19 (in 2020 and 2021), and after COVID-19 (in 2022). The analysis results show that based on the monthly average, the number of Trans Jogja Bus passengers in conditions during COVID-19 decreased by 54%. After COVID-19, it increased by 12% compared to during COVID-19. The monthly average number of passengers After COVID-19 is not as regular as in conditions before COVID-19, with a disparity of 50%t. Based on the characteristics of passengers during COVID-19, the proportion of missing passengers is by the professional aspect, namely students/students and civil servants/national soldiers/police. Regarding travel intentions, a relatively large proportion of the missing were college, school, and tourism travel, each decreasing by 7%.

Expressway Service Area Service Quality Analysis

Expressway service area is to provide services for people in the city between the city, but also an indispensable link in China’s road transport service system, its service quality and service satisfaction are directly related, the construction of service facilities and the quality of the highway service area will play a role in promoting. The service area is an important link in China’s road transport system. With the rapid development of China’s economy, the service quality requirements continue to improve, and improving the service quality of the service area has become a top priority. Taking the service quality of the expressway service area in Shaanxi Province as the research object, this paper uses the questionnaire survey method to analyze the service quality of the expressway service area in Shaanxi Province in five dimensions: formability, reliability, assurance, responsiveness and empathy, and establishes the service quality model by using the hierarchical analysis method. Through the calculation comparison, people’s satisfaction with each service quality factor in the highway service area is obtained, the average satisfaction value of each impact factor is about 7.5 points, the satisfaction of “reasonable layout of the service area and complete facilities” is the highest, the average value is 8.10, and the satisfaction of “fully understanding customer needs” is the lowest, the average value is 7.42, through the analysis of the relevant data on the service quality satisfaction of the highway service area, it is found that people are generally dissatisfied with the service quality. The satisfaction of drivers and passengers with the service area directly affects the level of economic benefits. This article studies the influencing factors of driver and passenger satisfaction and aims to improve the economic benefits of the service area by improving driver and passenger satisfaction.

Assessing road roughness using UAV-derived dense point clouds

The quality and safety of road networks are of paramount importance in modern transportation infrastructure. Road surface conditions, particularly road roughness, significantly impact vehicular travel safety, user comfort, vehicle operating costs, and overall road infrastructure maintenance. Traditional methods for road roughness analysis, such as manual inspections or image annotation, often present limitations in terms of data completeness, efficiency, and cost-effectiveness, especially for extensive road networks. This study investigates the potential of Unmanned Aerial Vehicles (UAVs) equipped with Structure-from-Motion (SfM) derived point clouds to transform road roughness assessment. By leveraging the capabilities of UAVs, including rapid data acquisition and high-resolution imagery, and employing SfM to generate detailed point clouds, this research aims to provide a comprehensive analysis of road surface conditions. The study, conducted on a road segment within the Harran University Osmanbey campus, systematically examines road roughness at different kernel sizes: 30 cm (smaller), 50 cm (moderate), and 75 cm (larger). Through this investigation, insights are gained into how different scales of analysis influence roughness measurements. The findings highlight the potential of UAV-derived point clouds as a promising avenue for road roughness analysis, offering transportation authorities and road administrators an efficient and cost-effective means of maintaining and enhancing road networks. The integration of this technology could lead to the development of safer, more efficient, and economically sustainable road transportation systems, benefiting both road users and infrastructure managers. As research and technological advancements in UAV-based road roughness assessment continue to progress, the potential for revolutionizing road management practices becomes increasingly apparent, ultimately leading to improved road quality and enhanced travel experiences for road users.

A stakeholder analysis of the road transport system in Tanzania using a STAMP control structure

The way the road transport system is developed in a country affects safety. This study aims to identify the roles and relationships of road transport stakeholders and to explore the understanding of control and feedback mechanisms and associated gaps influencing road safety. A System-Theoretic Accident Model and Processes (STAMP) model was applied to document and interview data (n = 30). Participants emphasised the hindrance of overlapping mandates among stakeholders on the road transport system’s operations and underlined the roles of coalitions for road safety as system enablers. Further, the withdrawal of some controls by international agencies can increase system vulnerability. Most importantly, critical control and feedback gaps were shown to increase risks for safety within the road transport system. The findings underscore the complexity of the road transport system and add to the discussion on a system’s approach to road safety. Practitioner summary: Using a STAMP methodology, we extensively studied the road transport system in Tanzania. Road transport stakeholders were identified through the review of documents, interviews were conducted, and the main findings were discussed. Control and feedback mechanisms and associated gaps were critically presented, recommendations were proposed, and policy implications were suggested.

CALCULATING THE WEAR INDICATORS OF MOUNTAIN ROADS' STRUCTURES AND THEIR EFFECTS ON THE ENVIRONMENT'S VULNERABILITY

The lack of clear boundaries of the vertical climatic zonality of mountainous countries in the norms for building climatology leads to errors in the timing of the interrepair work of highways. Given in GOSTs and other regulatory documents, these terms are of an average nature. For this reason, pavement structures and vehicles (road transport system) are subjected to premature wear and tear, and harmful emissions into the environment of mountainous areas increase. In order to increase the durability of pavement structures of mountain roads and reduce harmful emissions into the environment, a method is proposed for determining the optimal time between repairs of mountain roads, taking into account the integrated indicators of their wear, under the influence of natural and climatic factors of mountain conditions. It has been determined how these elements affect how ecologically vulnerable mountainous places are, and the ideal time frame for lowering the need for mountain road maintenance has been provided. The effectiveness of mathematical models and the reliability of the working hypothesis on the proportionality of the optimal periods for reducing overhaul life and the environmental vulnerability of mountainous areas have been proved.

Vision Zero and Impaired Driving: Near and Longer-Term Opportunities for Preventing Death and Injuries

Vision Zero involves the use of a systems approach to eliminate fatal and serious injuries from motor vehicle crashes by accommodating basic human limitations that lead to crashes through fundamental behavioral expectations, together with sound vehicle and road design.Alcohol-related crashes account for a significant proportion of motor vehicle crash death and injury and can be addressed in a safe road transport system. We look at near-term policy and program interventions that are known to motivate drivers to make safe drinking and driving decisions, and possibilities for using technology over the longer term to address risks resulting from driver impairment that is either inadvertent or willful high-risk behavior.From the Vision Zero perspective,”normal driving” refers to a situation where traffic and road users are operating as desired and planned. A driver in this normal driving envelope operates at a safe speed, wears a seat belt, focuses on the driving task, and is not impaired. A safe system accommodates human errors, mistakes, and misjudgments in the normal driving envelope. However, it may not be capable of compensating for deliberate violations and rule-breaking.A critical role of behavioral programs and policies is to motivate safe decisions by drivers and other road users and keep them in the normal driving envelope where they can be protected from unintentional errors by a safe system. While much progress has been made in developing and implementing impaired driving policies and programs, much potential remains in the their ability to motivate drivers to meet the fundamental expectations required in a safe system. Examples of behavioral programs and policies that have strong evidence of effectiveness but are underutilized in the U.S. include conducting periodic sobriety checkpoints, lowering the blood alcohol concentration limit for driving, and mandating the use of ignition interlock devices. While the specific interventions may differ, it is likely that the same situation of incomplete implementation of behavioral programs and policies - and consequent unrealized value to a comprehensive safe system - applies to many other nations.To reach the goal of zero deaths, a comprehensive Vision Zero program needs to address the problem of deliberate risk-taking, which can include driver impairment from alcohol or other causes and extend to dangerous and reckless driving. Advanced safety technologies offer a range of opportunities for this purpose. Cars available today and in the future will have a plethora of sensors that monitor circumstances inside and around the car. These systems can identify whether a driver is in their safe driving envelope and respond with interventions that are appropriate for the severity and nature of the risk. Interventions could range from those that are not perceivable to the driver, such as putting driver assist systems into active mode, to stronger steps such as limiting or preventing vehicle operation.Zero fatalities or serious injuries in motor vehicle crashes is possible with a systems approach that accommodates human errors and mistakes that occur with the normal driving envelope and incorporates effective responses to deliberate risk-taking outside of this envelope.

Forecasting emergent risks in advanced AI systems: an analysis of a future road transport management system

Artificial Intelligence (AI) is being increasingly implemented within road transport systems worldwide. Next generation of AI, Artificial General Intelligence (AGI) is imminent, and is anticipated to be more powerful than current AI. AGI systems will have a broad range of abilities and be able to perform multiple cognitive tasks akin to humans that will likely produce many expected benefits, but also potential risks. This study applied the EAST Broken Links approach to forecast the functioning of an AGI system tasked with managing a road transport system and identify potential risks. In total, 363 risks were identified that could have adverse impacts on the stated goals of safety, efficiency, environmental sustainability, and economic performance of the road system. Further, risks beyond the stated goals were identified; removal from human control, mismanaging public relations, and self-preservation. A diverse set of systemic controls will be required when designing, implementing, and operating future advanced technologies. Practitioner summary: This study demonstrated the utility of HFE methods for formally considering risks associated with the design, implementation, and operation of future technologies. This study has implications for AGI research, design, and development to ensure safe and ethical AGI implementation.

Research on Compaction Technology of Municipal Road and Bridge Engineering Roadbed and Pavement

In recent years, China has constructed various scale and level of road projects. The implementation of these projects has improved China's road transportation system and brought great convenience to people's travel. However, the implementation of roadbed and pavement compaction is an aspect that cannot be ignored in road engineering. The application of technology and construction effectiveness are related to the quality of road engineering. Therefore, in any road engineering project, standardized roadbed and pavement compaction must be carried out based on the construction requirements of the road itself to ensure that the compaction meets the construction requirements.

Quantifying Road Transport Resilience to Emergencies: Evidence from China

Facing the shock of emergencies, how resilient is the road transport system? In this process, how are the system’s absorption capacity, adaptability, and recovery capacity? These are very important for the development of sustainable road transportation. Taking China’s road transport during the COVID-19 pandemic as the research object, this paper introduces an integrated resilience quantification method, draws a road transport resilience curve, and comprehensively and dynamically analyzes and compares the resilience of China’s road transport system at different stages among different regions and under different epidemic waves. The results show that the resilience of road passenger and freight transport differs in the face of external disturbance. Freight transport resilience is better than that of passenger transport. Compared to passenger transport, freight transport is more robust; the impacted speed is slower, the recovery speed is faster, the recovery capacity is stronger, and the affected period is shorter. There is regional heterogeneity in road transport resilience. This heterogeneity is reflected in the whole change process of system performance with external disturbance, including absorption capacity, adaptation capacity, and recovery capacity. The resilience of road transport under different waves of the epidemic is different. Compared to the first wave of the epidemic, the resilience of road transport indicators at all stages has been dramatically improved in the later rebound wave of the epidemic. This can help in the development of evidence-based road transport sustainability strategies.

A game-theoretic approach to designing carbon regulations in a duopoly freight transportation market: Road and multimodal road-rail competitive systems.

Since the transportation industry produces remarkable carbon emissions worldwide, governments aim to curb these emissions by implementing different carbon regulations. However, little is known regarding how the heterogeneity of transportation systems should be exploited to design carbon regulations. To fill this research gap, the present article formulates carbon cap-and-trade and carbon offset regulations to reduce total carbon emissions produced by road and multimodal road-rail freight transportation systems (FTSs) in a duopoly market; the latter is regarded as a green, energy-efficient transportation mode. A novel procedure is suggested to allocate initial carbon caps that is a hybrid of both benchmark and grandfathering methods. The procedure allows the government to exploit the energy efficiency of the multimodal system, when targeting a reduction of total carbon. Then, a game-theoretic approach is adopted to implement the mentioned carbon regulations. A government, as a Stackelberg leader, maximizes a social welfare function containing economic, social, and environmental dimensions. Under the cap-and-trade regulation, a Nash bargaining process is proposed to trade carbon permits between the FTSs, as the followers, for updating their initial caps. The equilibrium outputs of the two mentioned carbon regulations and a carbon tax regulation are compared. The findings based on an experimental analysis suggest that the cap-and-trade (carbon offset) is the optimal and energy-efficient regulation from the social (economic or environmental) perspective. In terms of policy implications, our findings indicate that the development of a marketplace infrastructure for trading carbon permits is not justifiable under theeconomic and environmental perspectives of the government.

Evaluation of Electric Vehicle-Dependent Strategy in Addis Ababa, Ethiopia Transport System

This paper assesses the transport system of Addis Ababa, Ethiopia, taking factors such as the number of vehicles, roadway width, speed of vehicles, longitudinal grade, and proportion of both fuel and electrical vehicles by dividing vehicles into seven classes, namely, car, minibus, small bus, coach, small truck, heavy truck, and truck trailer, to determine CO2 emission, CO emission fuel consumption, and electric consumption in addition to the percent to replace ICE vehicles. After selecting eight representative road sections in Addis Ababa city, input data was collected from both primary and secondary sources. Simulation of urban mobility (SUMO) is used to model the existing road transport system and two other scenarios, cases being 20% and 40% replacement of internal combustion engine vehicles by electric vehicles. Among the vehicle types studied under this paper, the SUMO results show that coaches are with the highest CO2 emission, releasing an average amount of 28.442 grams of CO2 every time step, while cars are with the lowest CO2 emission value of 6.542 grams. Minibuses are the top CO emitters, releasing an average of 0.420 grams of CO every time step, and truck trailers emit the smallest CO emission, 0.025 grams. Regarding electric consumption, the truck trailer is the vehicle type with the highest electric consumption, with a value of 2.282 kwh (watthour) consumption every time step, and cars are the least electricity-consuming vehicles, with a value of 0.151 kwh. The fourth point is fuel consumption; besides the high CO2 emission, coaches’ consumption of fuel is leading by 8.946 grams, and cars use 2.087 grams of fuel every time step. Totally, public transport vehicles are responsible for higher emissions and huge fuel consumption. Therefore, if our transport system encourages the penetration of electric vehicles into the road transport system, a healthy and energy-efficient environment is reserved. Again, from a financial and environmental standpoint, the replacement of 40% of ICE vehicles by EVs enhances us with reduced costs and a green environment.

What would a road safety policy fully consistent with safe system principles mean for road safety?

If fully implemented, the Safe System principles as formulated by the International Transport Forum would lead to a considerably safer road transport system. The aims of this paper are: (1) To define operationally what full consistency with Safe System principles means; (2) To estimate the potential effects on traffic fatalities of full compliance with the Safe System principles. Operational definitions of full consistency with Safe System principles are proposed for speed limits, road design, road maintenance, vehicle safety and road user compliance with road traffic law. Estimates for Norway indicate that by complying perfectly with Safe System principles in all these areas, the number of fatalities could be reduced by 50–70 %. This is a conservative estimate. This shows that the Safe System principles are well justified scientifically: adhering to them would greatly improve road safety. However, currently road safety policy in many countries, including Norway, fails to realise these improvements in safety by not complying with the Safe System principles.

Analisis risiko kesehatan dan keselamatan kerja pada pekerjaan konstruksi pangadaan dan pemasangan intelligent transportation system Kota Medan

The installation of Intelligent Transportation System that serves to integrate road users, transportation systems and vehicles through information systems and communication technologies. Therefore, the purpose of this study is to identify hazards and risk analysis of work accidents in the installation of Intelligent Transportation System Medan. This type of research uses qualitative research design to identify hazards and perform risk level analysis on Intelligent Transportation System (ITS) installations using the AS/NZS 4360:2004 framework on risk management, was conducted at Gatsu Sei Wampu, Mayestik, and Merdeka Square intersection in February 2023 – completed. Data analysis methods, namely domain analysis. Based on the results of the study obtained the potential hazards of Occupational Safety and health contained in the installation location of The Intelligent Transportation System (ITS) in the form of injury or cuts, hit by vehicles, noise, electric shock, falling, buried, inhaled particles of material, material crushed and falling from a height. Hazard Control of Occupational Safety and health risks that can be done is testing the tools to be used, preparation of workers 'competence and health, provision of PPE for workers, provision of safe areas and traffic officers, implementing SOPs and installing K3 signs. Expected for all workers at PT. Means of terrain traffic to be able to implement safe behavior while working by always using PPE such as helmets, shoes, gloves, masks and vests as well as other PPE such as earmuffs/earplugs if the noise exceeds the threshold value (NAB).

The objective and subjective indicators comparative analysis for assessing social inequalities in regions

The article raises the problem of assessing the degree of sensitivity of the population in relation to the socio-economic situation in the regions, which lies in the fact that the population has its own idea of the state of affairs in the region, and these ideas are not always consistent with the official position of the regional decision-making authorities, as usually based on statistics. Such an assessment can be carried out through a comparative (comparative) analysis of objective (based on statistical data) and subjective (based on sociological data) indicators that characterize the state of social inequalities in the regions. The main results of a comparative analysis are presented on the example of assessing specific areas of life, such as the labor market, housing and the state of housing and communal services, the road transport system, healthcare, etc. fundamental research of the Center for the Sociology of Management and Social Technologies of the Federal Scientific Research Center of the Russian Academy of Sciences, which highlighted the close relationship between the sociocultural and socioeconomic levels of development of regions. A comparative analysis of subjective and objective indicators for assessing the state of social inequalities showed their linear-nonlinear relationship, i.e. in some cases, the subjective (sociological) assessment can be comparable with the objective one, formed on the basis of statistical data, in other cases, such an assessment is very different from the statistical data. As a result, the initial hypothesis was corrected, noting that a certain interdependence of the depth and severity of social inequalities was found in the regions, but it is unstable and depends on the region and the specific field of activity.

Deep transfer learning-based anomaly detection for cycling safety

Introduction: Despite the general improvements in road safety, with the growing number of bicycle users, cycling safety is still a challenge as demonstrated by the fact that it is the only road transport mode with an increase in the number of fatalities in EU cities. Problem: Moreover, to analyze the problem to improve the road transport system, the traditional network screening based on crash statistics is a reactive approach and less effective due to the lack of suitable bicycle data availability, as well. In such a framework, new opportunities for data collection in smart cities and communities are emerging as proactive approaches to identify critical locations where safety treatments can be effectively applied to prevent bicycle crashes. Method: This research applied a deep transfer learning model to detect anomalies in cycling behavior that can be associated with traffic conflicts or near-miss crashes. Results: The paper presents how to build a users’ tailored riding model named DTL AD to detect and localize riding anomalies by using a set of data in the National Marine Electronics Association (NMEA) string of Global Navigation Satellite System (GNSS) recorded with instrumented bicycles by different cyclists. Conclusion: More specifically, DTL AD exploits a convolutional autoencoder (CAE) with transfer learning to reduce data labelling and training effort. Practical Application: A case study demonstrates the identification of anomalies in cycling behavior visually represented on Geographic Information Systems (GIS) maps, showing how data clustering is well located in high-risk areas.