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Driving with distraction or losing alertness increases the risk of the traffic accident. The emerging Internet of Things (IoT) systems for smart driving hold the promise of significantly reducing road accidents. In particular, detecting the unsafe hand motions and warning the driver using smart sensors can improve the driver's self-alertness and the driving skill. However, due to the impact of the...
With the explicit consideration of user heterogeneity, i.e. each user has a different value of time (VOT), this paper examines system efficiency and social equity of redistribution of toll revenue in a bi-mode transportation service system. Three mode choice equilibrium models are built without road congesting pricing, with road congesting pricing and with the combination of road congesting pricing...
The new concept of eco-friendly adaptive cruise control for electronic car is proposed, the main difference from traditional adaptive cruise control are described. The potential design challenges from the new conceptual car are studied; an actual simulation overcoming part of these difficulties is reported. Section I is the introduction of the ecosystem, section II is the briefing for the customized...
In vehicle-to-pedestrian impact accidents, the lower limb is the most commonly injured body part. The current regulation used the pedestrian legform test method to assess the pedestrian leg protection performance, which imposed new design requirements for vehicle front end. In order to better understand the effects of vehicle front end structures on the pedestrian legform peak acceleration, a stiffness-based...
Video and image communications can assist in highway traffic control, accident avoidance and management as well as road congestion control and coordination. This paper studies video streaming over wireless medium among a cluster of vehicles in an ad-hoc network. Through intense tradeoff study, we investigate the issues encountered in building a robust system that would allow automobiles to effectively...
In this paper, we are interested in the Robust Wounded Transfer Problem (RWTP) in the background of large-scale emergencies such as typhoons, floods, earthquakes, droughts and so on. We introduce the theory of robust discrete optimization, and formulate the problem as a multi-point transportation model with multi-type vehicles, based on an absolute robustness criterion to minimize the maximum total...
In this paper, we are interested in obtaining robust solutions to the Wounded Transfer Problem based on an absolute robustness criterion, in the background of large-scale emergencies such as typhoons, floods, earthquakes, droughts and so on. We firstly describe the related methodology, and then introduce a min-max robust multi-point transportation model with multi-type vehicles to minimize the maximum...
Based on the basic symmetric two lane cellular automaton model (STCA), we propose a modified STCA (MSTCA) for mixed traffic flow. In MSTCA, the headway also could be used for lane changing, and then the length for safety criterion would be extended a lot. Lane changing region and first cell for lane changing on the other lane could be located. The situation while there are successive vehicles satisfies...
The dynamics of traffic flow influenced by real-time traffic information has become a hot topic. The aim of this paper is to explore the effects of four different information service strategies on travelers' route choice and the resultant system performance in a signal controlled network, where the exact real-time information is more difficult to collect in comparison with the two-route scenario....
Based on the research about the bidirectional buck-boost driver, reasonable projects were proposed to solve the problem that it was hard to recover the braking energy when low speed for super-capacitor electric bus. First, a passive lossless snubber project was designed to reduce the switch loss and protected the switch; the energy during switching transient process was transferred to charge the super-capacitor...
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