Car Distribution Research Articles

Evaluation of a distribution, education and awareness intervention for child passenger safety in Lebanon: a low-income and middle-income country setting

BackgroundThe Eastern Mediterranean Region suffers disproportionately from paediatric traffic-related injuries. Despite governmental laws, Lebanon—an eastern Mediterranean country—has low child restraint (CR) use prevalence. This study examined the impact of using...

Taxi Travel Distance Clustering Method Based on Exponential Fitting and k-Means Using Data from the US and China

The taxi travel distance distribution can be used to forecast the origin and destination (OD) distribution of taxis and private cars. Most of the existing studies on taxi trip distributions have summarized a “low–high–low” trend and approached zero at both ends; however, they failed to explain the reason for this distance distribution. The key indicators and parameters identified by various researchers using big data for the same city and year typically differ, especially in terms of the mode and mean values of distance and time. This study uses New York yellow and green taxi data (a total of 417,018,811 data points) from 2017 to 2022, as well as data from China, to obtain a general law of the taxi travel distance distribution through an analysis of the relative distance and relative frequency. The travel mode was 0.54 times the relative distance, while the data tended towards zero at 2.0 times the relative distance. We verified the reliability of the research method based on reference and survey data. The results reveal the formation mechanism of the taxi travel distance distribution characteristics, which follow an exponential distribution. These laws can be used in the context of urban planning and transportation research. We propose a taxi form distance clustering method based on the k-means approach, chosen for its effectiveness on large datasets, interpretability, and alignment with our research objectives. This method provides visual results for the travel distance and accurate information for urban transportation planning and taxi services. The practical implications for policymakers, urban planners, and taxi services are discussed, demonstrating how the identified travel distance distribution laws can influence urban planning and taxi service optimization. Finally, the problems of data collection, cleaning, and processing are identified from the perspective of data statistics and analysis.

Spatiotemporal differentiation calendar for car and truck flow on expressways: A case study of Jiangsu, China

The transport objects and demands of cars and trucks differ, leading to different spatiotemporal characteristics in their flow patterns. Existing studies on expressway flow are mainly focused on the overall traffic, however, a decomposition analysis of cars and trucks is necessary to accurately explore traffic prediction, management, and dynamic toll policy. This study presents calendars and spatial distribution of car and truck flow based on toll fee data in Jiangsu Province, China. Additionally, the influencing factors are explored by using Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR) models. The results show that: (1) car flow follows a regular pattern of low from Monday–Thursday and high from Friday–Sunday, while high from Monday–Friday and low from Saturday–Sunday for truck flow. This law is not obvious in the total flow calendar. (2) The car flow predominantly accumulates in the 0–20 km range, while the truck flow is concentrated within the 20–40 km range. (3) The spatial distributions are stable for both car and truck flow, characterized by higher flows in the southern part of Jiangsu and lower in the northern region. Gaps in truck flow between cities are greater than those in car flow, narrowing during holidays/festivals than on weekdays or weekends. (4) private vehicle possession and travel time to Shanghai are the main influencing factors on car flow during different periods, the number of research institutions and the added value of tertiary industry are positively correlated on weekdays and weekends, respectively. Total retail sales of consumer goods is the main factor affecting truck flow during different periods, total import and export goods can be attributed to weekdays, while per capita disposable income affects weekends and festivals. Finally, the findings of this study offer insights for the optimal implementation of toll policies.

ANALISIS PENGARUH CAPITAL ADEQUACY RATIO (CAR), RETURN ON ASSETS (ROA), NON PERFORMING LOAN (NPL), DAN INFLASI TERHADAP LOAN TO DEPOSIT RATIO (LDR)

This study aims to analyze the management of zakat, waqf and Islamic finance funds managed by Islamic banking. Where is the bank which is a place to collect funds from the community in the form of savings, then channeled back in the form of credit and others to the community. Provision of credit funds to the public can be measured through Loan To Deposit (LDR), where a ratio can indicate the ability of a bank to channel credit funds to third parties. Which can be carried out various tests in channeling bank funds to find out how the influence of CAR, NPL, ROA and inflation on LDR measurements. Then it can be seen from the results of LDR measurements that the form of distribution of CAR and NPL has a significant value to LDR. And then, for the measurement of ROA and inflation, it has no significant value to the LDR. Factors that influence the rise and fall of LDR may be due to the internal and external conditions of banking companies. Internal conditions can be reflected in the bank's financial indicators. The key indicators used in this study are CAR, ROA, NPL.

Innovative Energy Approach for Design and Sizing of Electric Vehicle Charging Infrastructure

In Italy, the availability of service areas (SAs) equipped with charging stations (CSs) for electric vehicles (EVs) on highways is limited in comparison to the total number of service areas. The scope of this work is to create a prototype and show a different approach to assessing the number of inlets required on highways. The proposed method estimates the energy requirements for the future electric fleet on highways. It is based on an energy conversion that starts with the fuel sold in the highway network and ends with the number of charging inlets. A proposed benchmark method estimates energy requirements for the electric fleet using consolidated values and statistics about refueling attitudes, with factors for range correction and winter conditions. The results depend on assumptions about future car distribution, with varying numbers of required inlets. The analysis revealed that vehicle traffic is a critical factor in determining the number of required charging inlets, with significant variance between different SAs. This study highlights the necessity of incorporating factors like weather, car charging power, and the future EV range into these estimations. The findings are useful for planning EV charging infrastructure, especially along major traffic routes and in urban areas with high-range vehicles relying on High-Power DC (HPDC) charging. The model’s applicability to urban scenarios can be improved by considering the proportion of energy recharged at the destination. A key limitation is the lack of detailed origin–destination (OD) highway data, leading to some uncertainty in the calculated range ratio coefficient and underscoring the need for future research to refine this model.

FACTORS AFFECTING CREDIT DISTRIBUTION OF BANKING COMPANIES LISTED ON THE INDONESIA STOCK EXCHANGE

The aim of this research is to examine whether CAR, LDR, BOPO, TPF, NPL and ROA influence credit distribution in banking sector companies listed on the IDX for the 2018-2020 period. 41 banking companies were used as research samples based on sample criteria. Data was obtained using IBM SPSS Statistics 26 software. The research results show that CAR has a significant negative effect on Credit Distribution. LDR and TPF have a significant positive effect on Credit Distribution. BOPO does not have a significant negative effect on Credit Distribution. NPL and ROA do not have a significant positive effect on Credit Distribution.

Construction of truncated PSMA as a PET reporter gene for CAR T cell trafficking.

In solid tumors, there are multiple barriers for a chimeric antigen receptor (CAR) T cell to surmount in order to reach the tumor site. For better understanding whether CAR T cells effectively infiltrate into tumor site, and simultaneously, whether there are off-target effects, real-time monitoring technologies need to be established. Cell-based positron emission tomography reporter genes have been developed to monitor engineered cells in living subjects. In this study, we reported the construction of a novel reporter gene truncated prostate-specific membrane antigen (ΔPSMA) pending for monitoring CAR T cells using 68Ga-PSMA-617 and a method for tracking the distribution of CAR T cells in vivo was developed. Data were provided to demonstrate that ΔPSMA was predominantly localized on the plasma membrane and could take up 68Ga-PSMA-617 in vitro in a time-dependent manner. And the expression of ΔPSMA did not affect CAR expression and cytolytic capacity of CAR T cells. CAR-ΔPSMA T cell xenografts in nude mice were clearly imaged by positron emission tomography 60 min after injection of 68Ga-PSMA-617. PSMA paired with 68Ga-PSMA-617 was capable of identifying approximately 1 × 104 engineered CAR T cells. The ability to image small numbers of CAR T cells in vivo would be helpful to accelerate the translation of cell-based therapies into the clinic, and it may reinforce our understanding of treatment success, failure, and toxicity.

Gendered access to household car in China: The mediation role of subjective attitudes

Increasing women’s access to car is advocated as a key strategy to improve women’s capability to move. However, car ownership is not equal to car access and independent car use. The men-favored car distribution within the household may exist to limit women’s access to car. This paper enriches the understanding of gendered access to household car by unpacking the mediation role of subjective attitudes. Perceived necessity to use household car and confidence in driving ability are examined specifically. The results of structural equation modelling support the assumptions that in China, (a) perceived necessity increases individual access to household cars; (b) being employed and in parenthood both increase women’s perceived necessity and thus the access to household car, while men’s access to household car and perceived necessity is increased only by the employment status; and (c) women’s access to household car is reduced by their tendency to lack confidence in driving. The findings suggest that recognizing the necessity of using a car and developing the confidence to drive is essential for women to improve their automobile mobility.

Adjunct Therapy with T Regulatory Cells Decreases Inflammation and Preserves the Anti-Tumor Activity of CAR T Cells.

With greater accessibility and an increased number of patients being treated with CAR T cell therapy, real-world toxicity continues to remain a significant challenge to its widespread adoption. We have previously shown that allogeneic umbilical cord blood-derived (UCB) regulatory T cells (Tregs) can resolve inflammation and treat acute and immune-mediated lung injuries. Allogeneic, cryopreserved UCB Tregs have shown a clinical benefit in patients suffering from COVID-19 acute respiratory distress syndrome. The unique properties of UCB Treg cells include a lack of plasticity under inflammatory micro-environments, no requirement for HLA matching, a long shelf life of cryopreserved cells, and immediate product availability, which makes them attractive for treating acute inflammatory syndromes. Therefore, we hypothesized that adjunct therapy with UCB Tregs may resolve the undesirable inflammation responsible for CAR T cell therapy-associated toxicity. In in vitro analysis, no interference from the addition of UCB Tregs was observed on CD19 CAR T cells' ability to kill CD19 Raji cells at different CAR T: Raji cell ratios of 8:1 (80.4% vs. 81.5%); 4:1 (62.0% vs. 66.2%); 2:1 (50.1% vs. 54.7%); and 1:1 (35.4% vs. 44.1%). In the xenogeneic B-cell lymphoma model, multiple injections of UCB Tregs were administered 3 days after CD19 CAR T cell injection, and no detrimental effect of add-on Tregs was noted on the circulating CD8+ T effector cells. The distribution of CAR T cells in multiple organs remained unaffected by the addition of the UCB Tregs. Specifically, no difference in the overall tumor burden was detected between the UCB Treg + CAR T vs. CAR T alone recipients. No tumor was detected in the liver or bone marrow in CAR T cells + UCB Tregs recipients, with a notable corresponding decrease in multiple circulating inflammatory cytokines when compared to CART alone recipients. Here we show the proof of concept for adjunct therapy with UCB Tregs to mitigate the hyper-inflammatory state induced by CAR T cells without any interference in their on-target anti-tumor activity. Administration of UCB Tregs after CAR T cells allows sufficient time for their synapse formation with tumor cells and exerts cytotoxicity, such that the UCB Tregs are diverted to interact with the antigen-presenting cells at the site of inflammation. Such a differential distribution of cells would allow for a two-pronged strategy of a UCB Treg "cooling blanket" effect and lay the groundwork for clinical study.

Distribution Of Lightweight File Delivery Using IoT

A lightweight file lifter car distribution device using Iot has been designed. This robot system uses the NodeMCU ESP8266 microcontroller where the NodeMCU ESP8266 functions as a data processor, and also a WI-FI network receiver emitted by a WI-FI network system. This robot car system uses a control system using an Android smartphone to control the movement of the wheels, this robot car uses a WI-FI network communication system so that the robot car system and Android smartphone can be connected, in this robot car system it uses a DC motor rotation direction drive driver which is The driver functions to move the direction of rotation of the DC motor on the wheels of the robot car. The power supply for this robot uses 3 3.7 Volt Li-Ion batteries which are arranged in series to get a 12 volt voltage, the 12 volt battery voltage goes first to the 7805 regulator IC circuit to get an output voltage of 5 volts, 5 volts voltage. this is what functions to supply the robot system so that it can be operated

Abstract 4084: Globo H-targeted CAR T cell cancer immunotherapy

Abstract Background: Globo H (GH), a Globo-series glycosphingolipid (GSL), is highly expressed in epithelial tumors, such as colon, endometrial, gastric, pancreatic, lung, prostate, and breast cancers. Aberrant expression of Globo H has been reported to be associated with the metastatic potential and poor prognosis of these cancers. However, in normal tissues, GH expression is limited to the secretory borders of apical epithelial cells, making it difficult to access by the immune system. GH is therefore a promising target for anticancer therapeutics. Clinical studies with the Globo H vaccines (OBI-822 and OBI-833) and the humanized anti-Globo H antibody (OBI-888) demonstrating an excellent safety profile. In recent years, cell therapy using chimeric antigen receptor T (CAR T) cells have shown impressive clinical outcomes. As a result, development of CAR T targeting GH may offer a novel anticancer therapeutic agent. Aim: The aim of this study was to develop a CAR T cell therapy targeted against Globo H (obi-R007) using lentivirus-mediated genetic engineering with a proprietary Globo H-specific antibody. Methods: We conducted in vitro and in vivo studies to determine the characteristics of GH CAR T obi-R007. Results: Ex vivo expansion of obi-R007 from healthy donors ranged from 40- to 200-fold post-activation for 10 days. Previous studies have suggested that less differentiation and fewer exhaustion markers of CAR T cells are beneficial for therapeutic persistence. In our study, there was less differentiation in the CD62L+ population (TSCM and TCM) in greater than 80% of obi-R007 cells, and no significant exhaustion markers (PD-1, LAG-3, etc.) were detected. obi-R007 showed specific cytotoxicity against Globo H-positive tumor cells with an E/T ratio of 0.5:1~2:1 and exhibited Globo H-specific activation through the expression of CD69, CD25, and Granzyme B as well as the release of Interferon γ and IL-2. Moreover, the activation and proliferation of obi-R007 were dependent on the presence of target cells. All the in vitro results indicate the specific targeting of obi-R007 to Globo H resulting in cytotoxic T cell responses. In the in vivo study, the efficacy of obi-R007 was demonstrated by adoptive cell transfer in several xenograft models and obi-R007 was shown to be persistent under multiple tumor challenges in the NCI-N87 gastric cancer model. Luminance labelling of CAR T cells showed that the distribution of CAR T cells in mice was specific to the tumor site and lymphoid organs suggesting a homing activity of the CAR T cells. Furthermore, no obviously physiological toxicity was observed in vivo. Conclusion: In conclusion, our in vitro and in vivo pharmacology and preliminary toxicology studies support clinical development of Globo H CAR T immunotherapy for patients with cancer. Citation Format: Jiann-Shiun Lai, Shiou-Ling Jian, Woan-Eng Chan, Ming-Tain Lai. Globo H-targeted CAR T cell cancer immunotherapy. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4084.

Research on Usage Distribution of Shared Cars Based on Visual Analysis

With the help of information technology, sharing economy came into being, developed and improved. In order to get the distribution of shared car use in Tel Aviv from the shared car location data set, this paper visually describes all the parking spots in the data set, and then analyzes the distribution of shared car use in Tel Aviv from two dimensions of time and space, and concludes that there are time-sharing differences and regional differences in shared car use in this city. The above research in this paper can provide reference for the service design of shared car parking space distribution, dispatcher distribution and car deployment time.

Использование программного комплекса «Тяга — Прогноз» для поиска энергооптимальных режимов ведения поезда

Objective: The article provides the description of “Traction — Forecast” Software Package to perform traction-power calculations with manual and automatic forming of driving modes. Applied at present software packages possess a number of drawbacks not allowing automating the process of traction-power calculation performance at researches and testing a new and existing rolling stock. The task of search for power-optimal train driving modes under various operation conditions is also relevant. This problem solution is in the development and testing “Traction — Forecast” Software Package. Methods: Numerical solving train motion differential equation was held by travelled distances with successive approximation usage. Preliminary calculation of motion possible trajectories with the purpose to search for power-efficient train driving modes was pursued. Transient processes in power device and brake system of a train were taken into account. The resistance to train motion from longitudinal outline and profile of a track was being defined given per car distribution of the units of traction rolling stock as well as in the case of per car starting of a train. Calculation for pass-through for trains was made taking into account shunting work peculiarities. Results: As the comparison of the results of traction-power calculations and trial travels has shown, the accuracy of traction calculation accomplishment is of about 1,5 %. Proposed by the program power-efficient modes for driving a train makes it possible to reduce power-resource expenditure on more than 3 %. Practical importance: The use of “Traction — Forecast” programming complex would allow to improve traction calculation accuracy for both, current and newly designed rolling stock. The flexibility of forming traction and braking characteristics as well as available options for to set resistance forces to motion allows estimating made decisions’ efficiency in terms of power-efficiency on the stage of rolling stock design. Application of power-efficient modes of train driving, formed by the software complex, provides for the cut of power-resource expenditures for train traction.

On the emergence of traffic jams in a stochastic traffic flow driven by additive and multiplicative white Gaussian noise processes

Understanding the influence of random phenomena on the emergence of jams in vehicular traffic flows is a fundamental question in the study of traffic flow dynamics. Motivated by the fact that additive and multiplicative white Gaussian noise processes represent fundamentally distinct sources of randomness that can engender qualitatively different patterns in the dynamics of traffic flow, here we compare and contrast the influences of those two distinct stochastic processes on the formation of traffic jams. Analyzing the macroscopic dynamics of spatially homogeneous single-lane traffic flow using a car distribution function that evolves according to a Fokker–Planck type equation, we first obtain the equilibrium distribution function in closed form for traffic flow driven by additive as well as multiplicative white Gaussian noise. We then derive the mean first passage time (MFPT) for both cases and also present results that elucidate the influence of varying noise strength on both the equilibrium distribution function and the MFPT. Additionally, we obtain fundamental diagrams corresponding to speed versus flux of vehicle flow for both cases that further highlight the distinct effects of the two types of noise. In summary, the results underscore the contrasting influences of additive and multiplicative noise processes on the emergence of traffic jams and thereby contribute to advancing our understanding of this aspect of stochastic traffic flow. The findings could also help improve our understanding of how randomness affects traffic flows that are a combination of human and self-driven vehicles.

1575.42 MHz Frequency Utilization on Intelligent Transportation System in Car Monitoring Distribution Delivery Logistic Using ublox GPS Neo 6M

Intelligent Transportation System or a smart transportation system with new technology that has been growing in recent years which is used as a computing system and communication technology for various purposes, such as traffic management, vehicle and highway security and emergency services. The current growth of e-commerce is very powerful, because people have placed e-commerce as a lifestyle. The high demand for logistics and delivery causes the need for monitoring package cars. This research system is designed to automatically monitor package cars, by utilizing the receiver frequency in the L1 frequency band (1575.42 MHz) which is modulated by the Ublox GPS Neo 6M module. Accelerometer sensors and acoustic data are used in cars as speed gauges and are used to detect and provide brief recordings in the event of an accident and can also monitor the speed of the car's distribution of packages in real-time. It was obtained for 7 trials with the same speed and constantly to avoid the Doppler effect that the accuracy of the GPS was quite good and the data was successfully uploaded to the web server in real time.

Online crowdsourced delivery for urban parcels using private cars under time-dependent travel times

This paper studies the problem of online crowdsourced delivery for urban parcels using private cars under time-dependent travel times. We consider some complex and practical cases, such as time-dependent travel times, private car detours and distribution, and retail stores as delivery or transfer nodes. The online delivery problem is formulated as a mixed-integer programming model to maximize the total profit. For this, we design an improved adaptive large neighbourhood search to address the problem. The benchmark instances verify the effectiveness and applicability of the improved ALNS. Then, the instances of large-scale delivery network using the main urban area of Dalian as an actual scenario are experimented. Numerical experiments showed that well-planned online crowdsourced delivery can respond to service requests in a shorter time, and the profit is higher than FlashEx. Sensitivity analysis results show that the maximum detour coefficient is only increased within a certain range, which is helpful to improve the matching rate and total profit. Moreover, increasing the number of signed private cars can not only increase the direct delivery rate but also the matching rate and total profit.

Causes and consequences of truck production predominance in the Soviet automotive industry in the first half of the XX century

A significant predominance of the number of produced trucks over the number of passenger cars was a feature of domestic automotive industry development until the 70-ies of the XX century. This fact did not correspond to the global vector of automotive industry development. The paper analyses the causes and consequences of this phenomenon by involving mainly a corpus of statistical sources of Russian and foreign origin. The socialist foundation of the political structure of the state and the focus on the development of heavy industry in the economy are identified as the fundamental factors that determined the specifics of Russian automotive industry strategy. By comparing the volumes of freight turnover of railway, river and road transport, the length of communication routes of various types both within the USSR and with the corresponding indicators of foreign countries, the author picks out the features of the Russian transport system that determined the containment of the USSR automotive industry development as a whole and the passenger car industry in particular. The paper denotes poverty and low level of education going with it to be among the social phenomena that prevented the mass distribution of passenger cars in the USSR and did not allow to form consumers of passenger car industry products in the country. Based on domestic and foreign data sources, the article concludes about the stability, regularity and validity of the predominance of produced trucks over passenger cars in the economic development of the country in comparison with the pan-European ones. It is noted that among others the result of this sectoral strategy is the contribution of truck production to the industrial breakthrough of the USSR in the 30-ies and the victory over Nazi Germany and Japan in 19411945 as well as a complex of diverse phenomena that exhibited in various sectors of social and economic life of the Soviet Union. The author claims that the change in the ratio of manufactured trucks and passenger cars in favour of the latter occurred in the 70-ies of the XX century as a result of the victory in the inter-party struggle of the concept of peaceful coexistence. The use of new data allowed the author to identify the influence of politics in the Soviet socialist state on the development strategy of the automotive industry as one of the key sectors of the economy

Regression Analysis Performed with Respect to the Velocity and Temperature

Abstract: Today vehicles are like our necessity in life. Most of the people of metro cities spend minimum 2-4 hour daily in their car. So people want better thermal comfort. Nowadays companies start focusing on customer choice. Vehicular cabin climate is adjusted by making changes in dry bulb temperature. It depends upon person that in which range person feels thermally comfort. This temperature range is always deviate from person to person. Every person has different metabolic rate so range of thermal comfort diverges person to person and it also depend upon clothing of people. If more powerful air-conditioner is applied then it affects the car performance means it lessen the average of vehicle. Air-conditioner will be applied in a limit. Thermal comfort is depending upon capacity of air conditioner, air velocity in car cabin, Air temperature, humidity and air flow distribution. So, first thing is capacity of air conditioner that will not be altered to higher value because AC is one and the only thing which consumes more power than other equipment. If large air conditioner is applied it will not be economical also. This is not the optimal solution for increasing thermal comfort. Air temperature can be decreased to improve thermal comfort but in this case size or capacity of air-conditioner will increase, ultimately this will increase cost. Last parameter is air flow distribution in which the pattern of air flow will be analyzed. In hatchback cars always there is a complaint of uneven cooling means cooling at front seat is good but very less cooling at back seat. Generally after an hour you feel some cooling at back. So there is need of optimal solution which is not too costly and also economic with respect to kilometer per liter. In this study of air pattern conclusion can be drawn that if there is any A.C. 2 vent will also present for back seat. Thermal comfort is also relying on Glass transmissivity of window glass in car cabin.

Data-Driven Computation of State-Dependent Passenger Car Equivalency for Multiple Truck Lengths

Passenger car equivalency (PCE) has been used for decades to convert mixed vehicle traffic into equivalent pure passenger car traffic streams for transportation planning, design, and operational analysis purposes. The term PCE was defined by the Highway Capacity Manual (HCM) in 1965 as an adjustment factor, and many approaches have continued to be developed for refining PCE values for different types of freeway geometry and vehicle distributions since then. This paper proposes an improved data-driven state-dependent passenger car equivalency (PCE–SD) approach, initially for level terrain basic freeway segments that consider average vehicle lengths for different types of vehicles. The term “state-dependent” refers to the space headway ratio at the same speed ranges between long vehicles (trucks), that fall into the same clustered category, and passenger cars. The relatively unique data stream used in this study comes from the Portland Oregon Regional Transportation Archive Listing (PORTAL) online datahub. This rich continuous data stream provides valuable information about traffic-related data at a 20-s aggregation level. Most importantly for this effort, ranges of categorical vehicle lengths are also available. According to analysis results, PCE–SD values estimate the actual passenger car distribution at different speeds and levels of operational performance (levels of service) more accurately compared with the HCM-6 PCEs on level terrain basic freeway segments. The authors propose that a state-dependent passenger car equivalency approach bridges the conversion gap from different types of trucks to passenger vehicles and could be used as an improved supplementary methodology.

Research on safety of the intended functionality of automobile AEB perception system in typical dangerous scenarios of two-wheelers

The statistical analysis was conducted on data of accident scenarios between cars and two-wheelers from National Automobile Accident In-depth Investigation System (NAIS) database in order to study safety of intended functionality of Autonomous emergency braking (AEB) perception system in typical dangerous scenarios of cars and two-wheelers. 11 scenario-related variables were selected, and 6 types of typical scenarios were obtained through cluster analysis and manual classification. The 6 types of typical scenarios were built by the automatic driving simulation software PreScan, and the AEB longitudinal control algorithm was built in Matlab/Simulink. Batch simulation script files were written, and the relative location distribution of car and two-wheeler with different time to collision (TTC) was obtained by batch simulation. Furthermore, the effects of car velocity, two-wheeler velocity and cyclist casualties on the parameter configuration of the perception system were analyzed. Under the premise of satisfying safety of intended functionality of the perception system, the optimal sensor detection scheme at different TTCs was obtained by comprehensively considering the death accident detection rate, detection area, and standard deviation. The results show that when the detection rate is 90%, the AEB system can adopt the detection scheme of long-range radar and short-range radar. The field of view (FOV) and detection range of the short range radar are 133.6° and 38.1 m, and those of the long range radar are 84.5° and 74.3 m. And when the detection rate was close to 100%, a single sensor can be used, and the detection parameters are 150° and 77.6 m. It provides reference for parameter optimization of AEB perception system.