Evaluation of an Advanced Driver-Assistance System to Reduce Pedestrian and Rear-End Crashes of Transit Vehicles

Author(s):  
Mohammed Hadi ◽  
Mohammad Atonu Islam ◽  
Sohana Afreen ◽  
Tao Wang

This paper reports on the results of an evaluation of a rear-end and pedestrian crash warning system installed on transit agency buses with the goal of collecting and providing information to help agencies make decisions about investing in such systems. The results from this evaluation indicate that the tested crash warning system had a positive effect on improving the reaction times to rear-end and pedestrian conflicts and on increasing the yield of drivers to pedestrians. The results from the evaluation also indicate improvement in driver behavior as reflected by the increase in the time headway between vehicles, reduction in the number of alerts for both rear-end and pedestrian crashes, and the reduction in the number of hard brake events. However, bus operators’ acceptance of the system seems to be low, pointing to the need for additional outreach and education of the drivers on the system and its effectiveness. The results from the return-on-investment analysis show that although installing the system on every bus of the transit agency may not be cost-effective, installing the devices on only the buses that operate on the high-crash bus routes is cost-effective.

2018 ◽  
Vol 7 (3.6) ◽  
pp. 294
Author(s):  
Shantanu Misra ◽  
Vedika Parvez ◽  
Tarush Singh ◽  
E Chitra

Vehicle collision leading to life threatening accidents is a common problem which is incrementing noticeably. This necessitated the need for Driver Assistance Systems (DAS) which helps drivers sense nearby obstacles and drive safely. However, it’s inefficiency in unfavorable weather conditions, overcrowded roads, and low signal penetration rates in India posed many challenges during it’s implementation. In this paper, we present a portable Driver Assistance System that uses augmented reality for it’s working. The headset model comprises of five systems working in conjugation in order to assist the driver. The pedestrian detection module, along with the driver alert system serves to assist the driver in focusing his attention to obstacles in his line of sight. Whereas, the speech recognition, gesture recognition and GPS navigation modules together prevent the driver from getting distracted while driving. In the process of serving these two root causes of accidents, a cost effective, portable and holistic driver assistance system has been developed.  


2013 ◽  
Vol 380-384 ◽  
pp. 581-585
Author(s):  
Jing Ming Yan

Road safety has drawn wide attention from the whole society in recent years. The system of collision warning and anti-collision as an emerging vehicle safety technology can effectively help drivers avoid rear-end accident. This paper uses driver assistance system to analogously simulate true condition of driving and road. By real-time monitoring safe distance between two vehicles under the condition of following, this paper optimizes and adjusts the existing simulator. Drivers can avoid some untimely happening or unnecessary warning through improved and optimized simulator, which provides crucial technical conditions for producing more controlled and real-time interactive simulator.


2020 ◽  
Vol 8 (6) ◽  
pp. 3481-3487

The prime motive of the automobile industry is to improve safety in driving machines and avoid accidents. Traffic rules and regulations drafted by the law aren’t followed by many citizens. This is another reason for an accident. Accidents sometimes are unintentional. Some serious acts like drunk and drive, ignoring the signboards, and over speeding might result in severe causalities. To prevent situations like these we seek the Advanced Driver Assistance System (ADAS). ADAS has the potential to increase safety and provide comfort driving. Driving situations are electronically controlled and decisions are simplified for the driver. Old people may also receive plenty of benefits from this technology. ADAS is designed with a humanmachine interface which tends to improve road safety marginally. Accidents caused by human error can also be minimized. ADAS helps the driver to automate, adapt and enhance the vehicle system for safe driving. Passive safety technologies like wearing seatbelts and airbags cannot prevent road fatalities. Modern technology like ADAS is different from traditional and passive technology and minimizes the fatalities consistently. ADAS also alert the driver of potential problems and helps in maintaining the stability of the vehicle under critical circumstances. Safety features are implemented to take control of the vehicle during collisions. ADAS relies on inputs from multiple sources like the brake assistant, pressure control system, lane departure warning system, road sign identification, etc. Additional features can also be customized based on the needs of the driver. In this paper methods to prevent over speeding, vehicle collisions, and driver alertness systems are discussed. RFID readers are used for sensing the speed limit in the signboards. The speed of the vehicle is managed based on the reading obtained from the tags. Sensors like ultrasonic, alcohol detector, gas sensor, temperature sensor are used to measure other parameters to enhance the safety measure while driving.


Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 1025 ◽  
Author(s):  
Park ◽  
Choi

In this paper, we present the detailed design and implementation procedures for an advanced driver assistance system (ADAS) based on an open source automotive open system architecture (AUTOSAR). Due to the increasing software complexity of ADAS, portability, component interoperability, and maintenance are becoming essential development factors. AUTOSAR satisfies these demands by defining system architecture standards. Although commercial distributions of AUTOSAR are well established, accessibility is a huge concern as they come with very expensive licensing fees. Open source AUTOSAR addresses this issue and can also minimize the overall cost of development. However, the development procedure has not been well established and could be difficult for engineers. The contribution of this paper is divided into two main parts: First, we provide the complete details on developing a collision warning system using an open source AUTOSAR. This includes the simplified basic concepts of AUTOSAR, which we have organized for easier understanding. Also, we present an improvement of the existing AUTOSAR development methodology focusing on defining the underlying tools at each development stage with clarity. Second, as the performance of open source software has not been proven and requires benchmarking to ensure the stability of the system, we propose various evaluation methods measuring the real-time performance of tasks and the overall latency of the communication stack. These performance metrics are relevant to confirm whether the entire system has deterministic behavior and responsiveness. The evaluation results can help developers to improve the overall safety of the vehicular system. Experiments are conducted on an AUTOSAR evaluation kit integrated with our self-developed collision warning system. The procedures and evaluation methods are applicable not only on detecting obstacles but other variants of ADAS and are very useful in integrating open source AUTOSAR to various vehicular applications.


2018 ◽  
Vol 1 (1) ◽  
pp. 21
Author(s):  
Ilyas Lamuda

This study was to determine the effect of Short-Term Investments and Assets Assets in generating profits in the company PT. Taspen. The method of analysis used qualitative methods That is explained and analyzed by descriptive data. Quantitative methods to study whether the Short-term investment is profitable or not, can be determined either by the method Accounting Rate Of Return (ARR) That method that measures the level of profit from investments used to gain tersebut.dan the return on investment assets at PT. Taspen. To test the hypothesis then performed calculations using multiple linear regression analysis. Furthermore pengelohan data and hypothesis testing will be assisted by a computer program Softwere SPSS (Statistical Service and Solution product).Research shows that variable Short Term Asset Investments concluded that simultaneous effect relationship is negative and insignificant. But in partial, it provides a significant and positive effect on earnings. Assets Investments variable and not significant positive effect on earnings, but in partial, it provides a significant and positive effect on earnings.


Sign in / Sign up

Export Citation Format

Share Document