RFID for road tolling, road-use pricing and vehicle access control

The use of radio frequency identification tags and intelligent transponders for vehicle to road-side communications and vehicle identification is now widespread with such technology and systems being seen as one of the early market successes of devetopments of ICT (Information and Communication Technologies) in the transport sector, known more generically as transport telematics. In order t

A smart market for passenger road transport (SMPRT) congestion: an application of computational mechanism design

To control and price negative externalities in passenger road transport, we develop an innovative and integrated computational agent based economics (ACE) model to simulate a market oriented "cap" and trade system. (i) First, there is a computational assessment of a digitized road network model of the real world congestion hot spot to determine the "cap" of the system in terms of vehicle volumes at which traffic efficiency deteriorates and the environmental externalities take off exponentially. (ii) Road users submit bids with the market clearing price at the fixed "cap" supply of travel slots in a given time slice (peak hour) being determined by an electronic sealed bid uniform price Dutch auction. (iii) Cross-sectional demand data on car users who traverse the cordon area is used to model and calibrate the heterogeneous bid submission behaviour in order to construct the inverse demand function and demand elasticities. (iv) The willingness to pay approach with heterogeneous value of time is contrasted with the generalized cost approach to pricing congestion with homogeneous value of travel time.

Deploying Wireless Sensor Devices in Intelligent Transportation System Applications

As future intelligent infrastructure will bring together and connect individuals, vehicles and infrastructure through wireless communications, it is critical that robust communication technologies are developed. Mobile wireless sensor networks are self-organising mobile networks where nodes exchange data without the need for an underlying infrastructure. In the road transport domain, schemes which are fully infrastructure-less and those which use a combination of fixed (infrastructure) devices and mobile devices fitted to vehicles and other moving objects are of significant interest to the ITS community as they have the potential to deliver a ‘connected environment’ where individuals, vehicles and infrastructure can co-exist and cooperate, thus delivering more knowledge about the transport environment, the state of the network and who indeed is travelling or wishes to travel. This may offer benefits in terms of real-time management, optimisation of transportation systems, intelligent design and the use of such systems for innovative road charging and possibly carbon trading schemes as well as through the CVHS (Cooperative Vehicle and Highway Systems) for safety and control applications. As the wireless sensor networks technology is still relatively new and very little is known about its real application in the transport domain. Our involvement in the transport-related projects provides us with an opportunity to carry out research and development of wireless sensor network applications in transport systems. This chapter outlines our experience in the ASTRA (ASTRA, 2005), TRACKSS (TRACKSS, 2007) and EMMA (EMMA, 2007) projects and provides an illustration of the important role that the wireless sensor technology can play in future ITS. This chapter also presents encouraging results obtained from the experiments in investigating the feasibility of utilising wireless sensor networks in vehicle and vehicle to infrastructure communication in real ITS applications

Investigating the effects of age and disengagement in driving on driver’s takeover control performance in highly automated vehicles

Driving is closely linked to older people’s mobility and independence. However, age-related functional decline reduces their safe driving abilities and thereby their wellbeing may decline. The rapid development of vehicle automation has the potential to enhance the mobility of older drivers by enabling them to continue driving safer for longer. So far only limited work has been carried out to study older drivers’ interaction with highly automated vehicles (HAV). This study investigates the effect of age and level of driving disengagement on the takeover control performance in HAV. A driving simulation study with 76 drivers has been conducted. Results showed that 20 s was sufficient for drivers to take over control from HAV. Older drivers take longer to respond and make decisions than younger drivers. The age effect on some aspects of takeover quality, in terms of operating steering wheel and pedals, is still pronounced. In addition, complete disengagement in driving in HAV leads to a longer takeover time and worse takeover quality, and it affects older drivers more seriously than younger drivers. The results highlight that an age-friendly design of human-machine interaction is important for enhancing the safety and comfort of older drivers when interacting with HAVs

Investigation of older driver's takeover performance in highly automated vehicles in adverse weather conditions

Driving is important for older people to maintain mobility. To reduce age-related functional decline, older drivers may adjust their driving by avoiding difficult situations. One of these situations is driving in adverse weather conditions such as in the rain, snow and fog which reduce the visual clarity of the road ahead. The upcoming highly automated vehicle (HAV) has the potential of supporting older people. However, only limited work has been done to study older drivers' interaction with HAV, especially in adverse weather conditions. This study investigates the effect of age and weather on takeover control performance among drivers from HAV. A driving simulation study with 76 drivers has been implemented. The participants took over the vehicle control from HAV under four weather conditions clear weather, rain, snow and fog, where the time and quality of the takeover control are quantified and measured. Results show age did affect the takeover time (TOT) and quality. Moreover, adverse weather conditions, especially snow and fog, lead to a longer TOT and worst takeover quality. The results highlighted that a user-centred design of human-machine interaction would have the potential to facilitate a safe interaction with HAV under the adverse weather for older drivers

Investigation of older drivers’ requirements of the human-machine interaction in highly automated vehicles

The population of older drivers is increasing in size. However, age-related functional decline potentially reduce their safe driving ability and thereby their wellbeing may decline. Fortunately, the forthcoming highly automated vehicles (HAVs) may have the potential to enhance the mobility of older drivers. HAVs would introduce a revolutionary human-machine interaction in which drivers can be completely disengaged from driving, and their control would be required occasionally. In order to inform the design of an age-friendly human-machine interaction in HAVs, several semi-structured interviews were conducted with 24 older drivers (mean = 71.50 years, SD = 5.93 years; 12 female, 12 male) to explore their opinions of and requirements towards HAV after they had hands-on experience with a HAV on a driving simulator. Results showed that older drivers were positive towards HAVs and welcomed the hands-on experience with HAVs. In addition, they wanted to retain physical and potential control over the HAVs, and would like to perform a range of non-driving related tasks in HAVs. Meanwhile, they required an information system and a monitoring system to support their interactions with HAVs. Moreover, they required the takeover request of HAVs to be adjustable, explanatory and hierarchical, and they would like the driving styles of HAVs to be imitative and corrective. Above all, this research provides recommendations to inform the design of age-friendly human-machine interactions in HAVs and highlights the importance of considering the older drivers’ requirements when designing and developing automated vehicles

Integrating Smartdust into Intelligent Transportation System

The last few years have seen the emergence of many new technologies that can potentially have major impacts on Intelligent Transportation Systems (ITS). One of these technologies is a micro-electromechanical device called smartdust. A smartdust device (or a mote) is typically composed of a processing unit, some memory, and a radio chip, which allows it to communicate wirelessly with other motes within range. These motes can also be augmented with additional sensors – such as those for detecting light, temperature and acceleration – hence enhancing their features and making their application areas virtually limitless. As the smartdust concept is still relatively new, and very little is known about its application in transport domain, conducting research in this area may prove to be very valuable. It is generally perceived that smartdust will become the low-cost, ubiquitous sensor of the future, especially once its size shrinks dramatically to merit its name. Our involvement in several transport-related EU and UK funded projects (ASTRA, 2005; ASK-IT, 2007; EMMA, 2007; Foot-LITE, 2007; MESSAGE, 2007; TRACKSS, 2007) provides us with an opportunity to carry out experiments and to develop demonstrations of smartdust applications in transport systems. We also have a chance to investigate how smartdust can be used in collaboration with other (more traditional) transport sensors for developing better Co-operative Transport Systems (CTS). This paper outlines our experience in these projects and provides an illustration on the important role that the smartdust technology can play in future ITS. We also present encouraging results obtained from our experiments in investigating the feasibility of utilising smartdust in real ITS applications

Evaluation of the effects of age-friendly human-machine interfaces on the driver’s takeover performance in highly automated vehicles

The ability to continue driving into old age is strongly associated with older adults’ mobility and wellbeing for those that have been dependant on car use for most of their adult lives. The emergence of highly automated vehicles (HAVs) may have the potential to allow older adults to drive longer and safer. In HAVs, when operating in automated mode, drivers can be completely disengaged from driving, but occasionally they may be required to take back the control of the vehicle. The human-machine interfaces in HAVs play an important role in the safe and comfortable usage of HAVs. To date, only limited research has explored how to design age-friendly HMIs in HAVs and evaluate their effectiveness. This study designed three HMI concepts based on older drivers’ requirements, and conducted a driving simulator investigation with 76 drivers (39 older drivers and 37 younger drivers) to evaluate the effect and relative merits of these HMIs on drivers’ takeover performance, workload and attitudes. Results showed that the ‘R + V’ HMI (informing drivers of vehicle status together with providing the reasons for the manual driving takeover request) led to better takeover performance, lower perceived workload and highly positive attitudes, and is the most beneficial and effective HMI. In addition, The ‘V’ HMI (verbally informing the drivers about vehicle status, including automation mode and speed, before the manual driving takeover request) also had a positive effect on drivers’ takeover performance, perceived workload and attitudes. However, the ‘R’ HMI (solely informing drivers about the reasons for takeover as part of the takeover request) affected older and younger drivers differently, and resulted in deteriorations in performance and more risky takeover for both older and younger drivers compared to the baseline HMI. Moreover, significant age difference was observed in the takeover performance and perceived workload. Above all, this research highlights the significance of taking account older drivers’ requirements into the design of HAVs and the importance of collaboration between automated vehicle and cooperative ITS research communities

The provision of public recharging infrastructure for Electric Vehicles in the UK – is there a business case?

The UK has been one of the most advanced countries in Europe for the demonstration of electric vehicles (EV) and the introduction of the supporting recharging infrastructure. Much of the UK’s EV recharging estate was created and is operated under public subsidy, in order to seed the marketplace for further EV and recharging equipment adoption. This paper addresses the fact that subsidies for the operation of this infrastructure are coming to an end, which is likely to affect EV drivers’ recharging behaviour. As the public funding ceases the infrastructure owners must find other ways to cover the on-going costs of operation and recover capital investments made, in order to provide a continuing and viable service to EV drivers. However, actual uptake of EVs and therefore demand for recharging has been lower than the arguably over optimistic predictions made in 2010 when the subsidies began. The difficulty of covering operating costs with inaccurate EV forecast figures is compounded by factors including asset life and ownership costs, recharging locations, vehicle and charging specifications, vehicle usage patterns and regional demographics. The introduction of fees for recharging at a level which EV drivers are willing to pay is unlikely to enable infrastructure owners to recoup their full costs using conventional business models. A Social and Environmental accounting model could be developed to help inform decision making for the public recharging business case. This paper gives an overview of the findings from the UK supplemented by experience from Republic of Ireland, and comments on the impact of inaccurate EV sales predictions and early changes in recharging behaviour resulting from reduction in subsidies. Document type: Articl

Age and experience: ludic engagement in a residential care setting

The “older old” (people over eighty) are a largely invisible group for those not directly involved in their lives; this project explores the ways that technology might strengthen links between different generations. This paper describes findings from a two-year study of a residential care home and develops the notion of cross-generational engagement through ludic systems which encourage curiosity and playfulness. It outlines innovative ways of engaging the older old through “digital curios” such as Bloom, the Tenori On and Google Earth. The use of these curios was supplemented with portraiture by three local artists, nine school children and the field researcher. The paper describes four technological interventions: “video window”, “projected portraiture”, “blank canvas”, and “soundscape radio”. These interventions attempt to reposition “off the shelf” technologies to provide a space for cross-generational engagement The notion of interpassivity (the obverse of interaction) is explored in relation to each intervention