Vehicle Theft Research Articles

Upaya Kepolisian Dalam Menanggulangi Tindak Pidana Pencurian Kendaraan Bermotor Roda Dua (Studi di Polsek Munte Kabupaten Karo)

This research aims to knowing how the police handle the crime of theft of two-wheeled motorized vehicles is the aim of this investigation (Study at the Munte Police). Munte Police, located in Singgamanik Village, Munte District, Karo Regency, North Sumatra, is the location for this research. Qualitative descriptive research methodology was used in this research. Five members of the Munte Police and two residents of Munte Village were the five research subjects in this study. Primary and secondary data are two types of data used in research. The data analysis method uses interactive analysis stages, including data collection, data reduction, data presentation, and drawing conclusions. Based on the findings of the study, Munte Police use punitive and preventive measures in an effort to stop people from stealing two-wheeled motorized vehicles. The preventive efforts carried out by the Munte Police include integrating security with the community in the Munte District area, improving police performance through implementing a term evaluation system, and making banners that urge the public to be more careful and alert in all their actions. Munte Police conduct regular and sporadic raids in areas with high crime rates as part of its repressive measures, including by imposing punishments on perpetrators of theft of two-wheeled motorized vehicles. The Munte Police are making every effort to tackle the crime of two-wheeled motor vehicle theft that occurs in the Munte District area. The main aim is to reduce the quantity of these crimes and enable people to live safely and peacefully.

Driving License Management System Using Finger Print Sensors with Seat Belt Monitoring System

The finger print based driving license management is an advanced technology that is designed for security purposes. This system consists of a fingerprint sensor, which is used to identify the status of the driver, whether he/she obtained a license or not. This is a very highly secured system. The driver's fingerprint is already stored in the system for comparison purposes. Nowadays, accidents are increasing day by day. In the recent days minor people are driving the vehicles without the license; this may cause future accidents. In order to conquer this, we proposed this system. This system not only checks the license status, and here a further IR sensor is used to check whether the seat belt wore or not. By using this system, there are tremendous advantages, like accidents will be reduced, high security, and reduced vehicle theft. Keywords: Finger print sensor, microcontroller, and IR sensor.

Информационное обеспечение как обязательное условие повышения раскрываемости краж и угонов транспортных средств

Introduction. Criminal scientists have always realised the important role of the category “information” in science. Many researchers have noted that the quality of information and cognitive activity of law enforcement agencies depends on the completeness and reliability of evidence obtained in the course of investigation. However, up to now “information” and related concepts are underdeveloped in criminalistics. The solution to this problem is of particular relevance in the context of widespread informatisation and the gradual transition to a post-industrial society. The task that law enforcement agencies and the scientific community face today is to provide quality information support for the investigation of crimes, including vehicle thefts. Methods. The study used general scientific methods of cognition of social processes (analysis, synthesis, deduction, system-structural method, description) as well as private scientific methods – questionnaire survey, statistical methods. The official statistics of the Ministry of Internal Affairs of Russia was used as an empirical base. Results. The research has demonstrated that the study of the category “information” and other related concepts makes it possible to consider the subject of the science of criminalistics from new sides. The conclusion makes a reasonable statement that information support is an effective tool in the fight against vehicle thefts.

The androgen receptor gene and criminal offending: Evidence derived from international data

Beginning early in fetal development, the androgen receptor (AR) gene helps regulate bodily exposure to testosterone. Most studies of individuals have found an inverse correlation between the number of CAG repeats on this gene and serious forms of physical aggression. This two-phased study was primarily undertaken to determine if a link between AR CAGn and physical aggression also exists at an ecological level of analysis. To make this assessment, we first conducted a bivariate analysis of the average number of AR CAG repeats for a large number of countries and the rates of crime victimization in those same countries. Except for motor vehicle theft, as the national average number of CAG repeats increased, crime victimization rates decreased. This inverse relationship was especially strong for violent offenses. In the second phase of this study, we sought to determine if per capita gross domestic product, pathogen prevalence, and average intelligence might be mediating some of the AR CAG repeats-criminality relationship. Mediation analysis analysis indicated that, once gross domestic product and pathogenic prevalence were controlled, average intelligence was able to eliminate most of the links between CAG repeats and crime victimization rates, especially in the case of violent offenses. These findings suggest that the AR gene is not influencing criminality primarily by altering testosterone brain exposure (as we suspected). Instead, it may affect criminality mainly by affecting cognitive ability. In fact, once average national intelligence is included in the mediation analysis model, direct relationships between CAG repeats and measures of homicide, assault, and robbery were no longer statistically significant. Findings from this two-phased study point toward the AR gene as having multiple effects on brain functioning, particularly regarding intellectual development as hypothesized by Manning [62]. Replication is obviously needed.

Analysis of Students' Social Care Attitudes towards the Increase in Criminal Acts of Motor Vehicle Theft in Jambi Outer City District (Study of Students from the Civics Study Program at Jambi University)

Analysis of Students' Social Care Attitudes towards the Increase in Criminal Acts of Motor Vehicle Theft in Jambi Outer City District (Study of Students from the Civics Study Program at Jambi University)

Device-free Vehicle Type Identification for Next Generations Intelligent Transportation System

With the substantial progress in the automotive industry, intelligent vehicle identification systems have become imperative tools for next generation transportation system planning. The advent of internet of vehicles and intelligent cellular vehicular networks has entered the transportation system into a new era of technology. In smart transportation system of beyond 5G/6G vehicular networks, vehicle type identification is of vital importance for ensuring safe operability of autonomous driving environ ments, electronic toll, and traffic management. It can be used in high efficiency roadway services, vehicle theft prevention, road condition monitoring, automatic driving, access control security, etc. During the recent years, channel state information (CS I) of WiFi signal has gained escalating traction for activity or gesture recognition, and person identification with improved robustness and classification accuracy. Therefore, in this research work, a WiFi based vehicle type identification system is proposed for beyond 5G/6G vehicular networks. In this novel approach, we start from vehicle detection using the variation in CSI of WiFisignals caused by the moving vehicle. For vehicle detection we simply apply a threshold based algorithm and then extract meaningful features. Afterwards, the vehicle type is identified using machine learning algorithms. This is a wireless model that enables commercial WiFi devices to identify different types of vehicles using CSI measurements. The presented framework can identify six different types of vehicles with an accuracy of 91.8%

Handling Repeated Crimes (Residivist) of Motor Vehicle Theft (Case Study at Sukabumi District Police)

The development of the times affects life in society which is marked by increasing crime in society. There are criminals who repeat crimes after the perpetrator is released from his criminal sentence or are known to be recidivists. The research method used is qualitative research, using an empirical legal approach which examines law which is conceptualized as real behavior, as an unwritten social phenomenon, which is experienced by everyone in social life.Research Methods In this research, the author used several research methods to complete this thesis. The first method used is the normative juridical method. Normative juridical is a legal research method carried out by examining library materials or mere secondary materials. The results of research into factors causing recidivism of motorbike theft in the jurisdiction of the Pelabuhan Ratu Police, Sukabumi Regency, namely educational factors, opportunity factors, lack of skills factors, and law enforcement factors. The recidivist modus operandi of motorbike theft in the jurisdiction of the Pelabuhan Ratu Police, Sukabumi Regency is in the form of using a T-lock, pushing the motorbike and hiding it in another place. Efforts to deal with recidivist motorbike theft in the jurisdiction of the Pelabuhan Ratu Police, Sukabumi Regency in the form of repressive and preventive efforts.

The heterogeneous effects of COVID-19 lockdowns on crime across the world

There is a vast literature evaluating the empirical association between stay-at-home policies and crime during the COVID-19 pandemic. However, these academic efforts have primarily focused on the effects within specific cities or regions rather than adopting a cross-national comparative approach. Moreover, this body of literature not only generally lacks causal estimates but also has overlooked possible heterogeneities across different levels of stringency in mobility restrictions. This paper exploits the spatial and temporal variation of government responses to the pandemic in 45 cities across five continents to identify the causal impact of strict lockdown policies on the number of offenses reported to local police. We find that cities that implemented strict lockdowns experienced larger declines in some crime types (robbery, burglary, vehicle theft) but not others (assault, theft, homicide). This decline in crime rates attributed to more stringent policy responses represents only a small proportion of the effects documented in the literature.

Does gambling expenditure have any effect on crime?

Australians spend more per capita on gambling than any other country in the world. Electronic gaming machines (EGM) expenditure accounts for almost 90% of this expenditure. No study to date has conducted a rigorous longitudinal analysis of the relationship between gambling expenditure and crime. This study aimed to estimate the short-and long-run relationship between gambling expenditure and crime. Longitudinal analysis using panel autoregressive distributed lag (ARDL) modelling. Recorded property and violent crimes committed in New South Wales (NSW), Australia,between 28 December 2015 and 5 January 2020. Monthly gross EGM expenditure profit, broken down by Local Government Area (LGA). Monthly recorded rates of assault, break enter and steal (dwelling), break enter and steal (non-dwelling), break enter and steal (total), motor vehicle theft, stealing from a motor vehicle, stealing from a retail store, stealing from the person, stealing (total) and fraud. Each 10% increase in gambling expenditure in NSW is associated with annual: 7.4% increase in assaults, 10.5% increase in break and enter (dwelling) offences; 10.3% increase in break and enter (non-dwelling) offences; 11% increase in motor vehicle theft offences; 8.2% increase in stealing from motor vehicle offences; and 7.4% increase in fraud offences. Electronic gaming expenditure appears to be positively associated with property and violent crime in New South Wales, Australia.

Dynamic Analysis of Vehicle Robberies and Thefts: An Approach with Sliding Windows

Objective: This article aims to jointly analyse the time series of the rates of stolen vehicles and stolen vehicles daily in Salvador, Bahia, Brazil, using DFA and DCCA methods, both with the sliding windows approach. Theoretical Framework: Salvador, the capital of the state of Bahia and the geographic space of the research, has the second largest fleet of motor vehicles in the northeast region of Brazil and the eighth when compared to other municipalities in Brazil. Method: The DFA and ρDCCA with Sliding Windows were used. The DFA is a statistical method that estimates autocorrelation in non-stationary time series on different time scales. Results and Discussion: Through exploratory data analysis, some properties were identified, such as positive asymmetry, stationarity, and nonstationarity depending on the year and crime assessed, as well as inverse fluctuation over the years between the average rates of stolen and stolen vehicles. The sliding windows approach identified greater relative variability around the average vehicle theft rate from 2004 to 2015 for w= 365 and from 2004 to 2016 for w = 1000 and a higher frequency of persistent autocorrelation (αDFA >0.50) (w=365 and w=1000). While the level of cross-correlation varied qualitatively between positive (ρDCCA (n) >0) and negative (ρDCCA (n) <0) depending on the year, time scale, window and crime assessed. Conclusion: Considering the complexity of the modelled series, the methodology used, and our findings, we hope to contribute to research related to the topic and initiatives to monitor, mitigate and plan to combat these crimes.

Hot spot stability and change during the COVID-19 pandemic

ABSTRACT A fundamental law of criminology is that crime is concentrated in a small number of hot spots that remain stable over time. However, in light of the COVID-19 pandemic disrupting people’s daily routines through stay-at-home orders and social distancing restrictions, there is some doubt as to whether this law was briefly broken. This paper tests this proposition by examining the stability and growth of hot spots for assault, robbery, theft, burglary, and motor vehicle theft during the COVID-19 pandemic in Cincinnati, Ohio. The analysis revealed that less than 10% of street segments were responsible for the change in the overall crime trend for assault, robbery, and motor vehicle theft during the pandemic. In addition, over 40% of streets that were hot spots for assault and theft in 2018 and 2019 remained hot spots during the pandemic. However, there was an increase in street segments that became new hot spots as well. These street segments were 40–70% of all hot spots from 2020 to 2021. The findings of this paper indicate the spatial distribution of hot spots in Cincinnati changed during the pandemic as a notable percentage of hot spots went ‘cold’, resulting in significant fluctuations in crime in Cincinnati.

The Road to Crime: An Unintended Consequence of the Interstate Highway System

Abstract The necessity to overhaul national infrastructure has become one of the key issues of US domestic policy in recent years. While the benefits of infrastructure spending are often straightforward, its unintended consequences are less well understood. This paper studies the impact of transportation infrastructure on local crime, focusing on the construction of the Interstate Highway System (IHS), the largest public works project in US history. Using a staggered difference-in-differences design and a county-by-year panel dataset spanning all US counties between 1960 and 1993, we find that a highway opening in a county led to an 8% rise in total index crime. This effect is driven by property crime (burglary, larceny, and motor vehicle theft), although some evidence suggests an increase in violent crime as well. Exploring potential mechanisms, we show that the positive effect of highways on crime is concentrated in counties with low pre-existing stock of police resources where increased connectivity may have raised the returns to crime. Moreover, we find that highway construction induced higher local employment, average firm size, and the local population size, thus increasing the returns to criminal activity, and ultimately the risk of victimisation in the newly-connected counties.

Design of an Embedded System based on strain gauges to mitigate automotive vehicle thefts, Lima 2023

Design of an Embedded System based on strain gauges to mitigate automotive vehicle thefts, Lima 2023

Analysis of paratransit crimes in Akure, Nigeria

BackgroundParatransit is a system that operates along a more or less defined route and then stops to take passengers on demand. They offer on-demand door-to-door service from any origin to any destination in a service area, and are operated by public transit agencies, community groups or not-for-profit organizations, and for-profit private companies or operators. In transit, criminal acts including rape, kidnapping and/or abduction, robbery, carjacking, vehicle theft, and even acts of terrorism are committed. These crimes are occasionally committed by other passengers since not every individual who boards a vehicle is a real traveller. This study examined the incidence of paratransit crimes in Akure, Nigeria using a Secured System Approach.ResultsThis study employed a household-based form of sampling to select the study locations in Akure. Convenient sampling was used to select two streets in each of the residential areas from which one hundred and twenty (120) houses were sampled purposively. The questionnaire was used to gather the primary data, with descriptive analysis. The study found that most of the transit crimes were perpetuated with taxi and motorcycles. Also, kidnapping was the major transit crimes in Akure. The Oba-Adesida road and Arakale road (situated along the study areas) were the hotspots for transit crimes in Akure. Finally, the respondents did not have a good perception of the proactiveness, integrity, reliability, respectability, and trustworthiness of security agencies regarding paratransit crimes in Akure.ConclusionsIncidence of paratransit crimes in Akure, Nigeria was explored among residents in Akure households. Kidnapping was dominant in Akure along Oba-Adesida and Arakale road, and mostly perpetuated with taxi and motorcycles. Since the participant did not have a good perception concerning the proactiveness, integrity, reliability, respectability, and trustworthiness of security agencies in Akure. Recommendations were suggested.

Parking Slot Prediction and Face Recognition Based Parked Vehicle Theft Prevention in Smart System using Deep Learning

Parking Slot Prediction and Face Recognition Based Parked Vehicle Theft Prevention in Smart System using Deep Learning

Community Security Service Innovation Through a Motorcycle Security System (Sikemo) Integrated with Local Radio

The Indonesian government has attempted to overcome the problem of motor vehicle theft by implementing various policies, such as increasing security patrols, installing security systems in vehicles, and providing information to the public about preventative measures. There is a need for strategies and techniques to deal with cases of theft which are very disturbing to the public. Integrated security systems for motorbikes are a promising approach in reducing crime rates. This study used descriptive qualitative method. The object of research is the security system for motor vehicle owners. Data was obtained through observation, literature study, archives and documents. Analysis through the process of identification, categorization and proposing security system innovations. SiKeMo can be an innovative solution to reduce the high rate of theft, where the existing vehicle security system is currently considered less safe. Nowadays, thieves use technology to make their actions easier. The police as a related institution need to fight increasingly sophisticated crimes by using a more sophisticated crime prevention system. By combining various security technologies, integration with wider security infrastructure, and paying attention to the psychological aspects of users, a security system can be created that is more effective and proactive in maintaining motor vehicle security.

Pertimbangan Hukum Hakim Dalam Kasus Tindakan Pencurian Kendaraan Bermotor Yang Di Lakukan Oleh Anak

Introduction: one of the motor vehicle theft cases is the Ambon District Court decision No. No.12/PID.SUS-ANAK/2021/PN.AMB which states that Ammar Peisamal alias Ammar was convicted of "grave theft" as explained in the Criminal Code article 363 paragraph (1).Purposes of the Research: This study aims to examine and discuss the actions of the perpetrators who have fulfilled the elements in Article 363 paragraph (1) of the Criminal Code and examine and discuss the basis for the judge's legal considerations in imposing a prison sentence of 2 years and 6 months on the perpetrator.Methods of the Research: the research method used is normative legal research. The research approach is a statutory approach and a conceptual approach. The sources of legal materials used are primary, secondary and tertiary legal materials. The technique of gathering legal materials through literature studies and then analyzed through perspective using qualitative methods.Results of the Research: The results showed that the Ambon District Court Judge stated in his decision that the defendant had been legally and convincingly proven to have committed the crime of stealing this case and imposed a prison sentence on the defendant for 2 (two) years and 6 (six) months. The public prosecutor's indictment, the public prosecutor's demands and the judge's considerations in his decision have fulfilled all the elements of the offense and the conditions for imposing a sentence on the defendant. This is based on the examination at trial where the evidence submitted by the public prosecutor includes the statements of the witnesses and the statements of the accused which are interrelated. The testimony of the defendant admitted his actions and regretted it.

An IOT Based Vehicle Theft Detection and Remote Engine Locking System

Abstract: An IoT based vehicle theft detection and remote engine locking system is GSM (Global System for Mobile Communication) technology that helps the users to identify the vehicle in the theft mode and allow you to use the controlling mechanism technique. These days, there are a ton of cars being stolen. It's a big problem because crime rates are going up, and it's making it harder to keep vehicles safe. Criminals are becoming smarter and have reached the stage of applications present against the vehicles safety system. Vehicle theft has become a considerable issue which should be traced and prevented. The new system solves many problems and is affordable. Also the proposed system reducing complications by making use of some high priced products like ignition key, microcontroller. In the proposed method, we include an additional feature where controlling mechanisms remotely lock the vehicle engine and prevent theft. In proposed technique, user can start/stop the vehicle either by using the ignition key, which tracks exact location of the vehicle using the application. This paper talks about a great anti-theft system for vehicles. It uses Global Positioning System(GPS),Global System for Mobile Communication(GSM),and Biometrics technologies(i.e fingerprint ) to find the vehicle and confirm the owner's identity. Fingerprint device captures the fingerprints and matches the distinctiveness of every print scan by the device and compares it to the one keeps in its module or native system database.

Vehicle Anti-Theft System Using Fingerprint & Passcode with Speed Control and Obstacle Detection

Abstract: This review paper explores the integration of a comprehensive vehicle anti-theft system, combining fingerprint and passcode authentication with speed control and obstacle detection. The rising concern of vehicle hijacking and theft emphasizes the need for enhanced security measures within the automotive industry. Leveraging biometric systems, known for their effectiveness in diverse applications, proves to be a promising solution. Biometric systems utilize unique biological traits to identify individuals, employing algorithms to ensure accurate user identification. In this suggested system, the signals produced by the Arduino Uno are directed to the relevant circuit within the module. Simultaneously, paper delves into the crucial relationship between security and performance monitoring in vehicles, emphasizing the significance of the speedometer as a vital component. Furthermore, the study advocates for the development of a cost-effective obstacle avoidance system applicable to both robots and automobiles, aiming to prevent accidents and minimize damage. This comprehensive approach combines advanced security, performance monitoring, and obstacle detection, offering a multifaceted solution to mitigate the risks associated with vehicle theft and enhance overall safety in the automotive realm.

Low-Cost Vehicle Security System Using Location Change and Vehicle Status Based on Internet of Things

Motor vehicle theft is a crime that can potentially harm the owner of the vehicle. This crime should be anticipated, and a security system should be implemented to avoid vehicle theft. Research about vehicle security systems has run into an uptrend. Previous research has already developed security system devices for vehicles with many peripherals. This study aims to develop a new low-cost vehicle security device with location change calculation to cut unused peripherals. The proposed device has a logic checker, horn controller, and vehicle controller as security systems. According to the testing result, the device can detect the vehicle status from off to on while the security system is active. The device will turn on the horn and turn the vehicle off. This function always works at 100%. This device also detects theft according to the location change. This feature works at a 100% rate, with an average error reading location of 4,83m and an average error distance calculation of 0,91m. This distance is tolerable because the owner can still see the vehicle. This research result proves that the device can be used to secure the vehicle. This device's performance will increase if placed outside the building. The data was also successfully sent to the IoT platform without data loss or incomplete data. Compared with other research, the proposed device has fewer peripherals with the same or more security features.