This paper describes the pedestrian safety crossing behaviour at signalized crosswalks in an urban traffic environment based on human reliability analysis. In our research, pedestrians’ waiting durations are modelled by a non-parametric and two parametric reliability models that recognize the effects of covariates. The covariates include pedestrian personal characteristics and urban traffic conditions in order to reflect the effects of human factors and internal environment comprehensively. The results indicate that most pedestrians show distinct time-dependent reliability but a few pedestrians are too impatient to wait for the lights changes.
"Research shows that many traffic accidents are caused by human errors in longitudinal or lateral driving behavior . With the development of information technology, there are many advanced electronic devices used for driving safety assistance . "
[Show abstract][Hide abstract] ABSTRACT: It is very important for drivers to obtain driving information easily and efficiently. There are many advanced devices used for driving safety assistance. Of these assistance devices, the head-up display (HUD) system can promote the reduction of driver's reaction time and improve spatial awareness. The drivers' attitude towards and preference for HUD system are crucial to design the functional framework and interface of HUD system. This study explored the relationships between drivers' attitude and HUD presentation image designs using stated preference data from questionnaire survey. The questionnaire included drivers' attitude towards the use of HUD and the preference for the information display zone and information display elements of the HUD. Contrastive analysis was adopted to examine the variations in drivers' attitude and preference for age and driving skills. According to the results, the participants have varying attitudes to HUD system, but most participants show relatively unified preference for the information display zone and information display elements. The results can also be used to customize a HUD presentation image which is in accordance with the drivers' feelings and preferences.
"Indeed, current studies concerning pedestrian crossing mainly focus on pedestrian crossing behavior (Li, 2014; Wickramasinghe et al., 2012; Yannis et al., 2013) and signalization at at-grade intersections (Ma et al., 2014; Wong and Wong, 2003; Yang, 2010). Based on these, evaluations of pedestrian crossing safety (Guo et al., 2012; Koh et al., 2014) and service level (Baltes and Chu, 2002; Chu and Baltes, 2001) are further conducted. In contrast, there are few studies on mid-block crosswalk optimization, falling into two major categories: operation studies and location studies. "
[Show abstract][Hide abstract] ABSTRACT: In many cases, pedestrian crossing demands are distributed discretely along an arterial segment. Demand origins, destinations and crosswalks comprise a pedestrian crossing network. An integrated model for optimizing the quantity, locations and signal settings of mid-block crosswalks simultaneously is proposed to best trade-off the operational performances between pedestrians and vehicles. Pedestrian behavior of choosing crosswalks is captured under a discrete demand distribution. Detour distance and delay at signalized crosswalks are formulated as a measure of pedestrian crossing cost. Maximum bandwidths are modeled in analytical expressions as a measure of vehicular cost. To solve the proposed model, the Non-dominated Sorting Genetic Algorithm II (NSGA II) based algorithm is designed and employed to obtain the Pareto frontier efficiently. From the numerical study, it is found that there exists an optimal number of mid-block crosswalks. Excess available crosswalks may make no contributions to improvement in pedestrian cost when the constraint of the minimum interval between crosswalks and vehicular cost are taken into account. Two-stage crosswalks are more favorable than one-stage ones for the benefits of both pedestrian and vehicles. The study results show promising properties of the proposed method to assist transportation engineers in properly designing mid-block crosswalks along a road segment.
Transportation Research Part B Methodological 03/2015; 73:103-121. DOI:10.1016/j.trb.2014.12.005 · 2.95 Impact Factor
"On the other hand, the application of fault detection is to monitor components of the high-speed rail (such as wheels and carriage) and avoid catastrophic events (such as derailment occurred). People can take corrective action before the accident when the key parts of highspeed rail trains, rail and the relevant geographic area are detected by sensors and intelligent devices  . As shown in Figure 1, The perceivable equipment installed in the railway/train real-time monitor the railway environment/train conditions. "
[Show abstract][Hide abstract] ABSTRACT: In the environment of cloud computing, real-time mass data about high-speed rail which is based on the intense monitoring of large scale perceived equipment provides strong support for the safety and maintenance of high-speed rail. In this paper, we focus on the Top-k algorithm of continuous distribution based on Multisource distributed data stream for high-speed rail monitoring. Specifically, we formalized Top-k monitoring model of high-speed rail and proposed DTMR that is the Top-k monitoring algorithm with random, continuous, or strictly monotone aggregation functions. The DTMR was proved to be valid by lots of experiments.
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