The Civil Air Navigation Services Organisation, the International Federation of Air Traffic Control Associations, the International Air Transport Association and the Civil Air Navigation Services Organisation agree that professionals in the Air Navigation Services Provider Sector require successful organisational leadership to facilitate and manage transformation within the highly regulated Air Navigation Services Provider Sector. Detailed organisational leadership requirements and associated leadership training and development needs are, however, not specified by the Civil Air Navigation Services Organisation. An opportunity therefore existed to investigate leadership traits and behaviours within a specific context. This research project is contextualised within a safety-conscious, highly regulated and technology-driven industry (the South African Aviation Industry), a safety-critical sector (Air Navigation Services) and specifically the Air Traffic and Navigation Services Company. It was found that little academic research has been done to address the role of followers in the leadership process and to determine what followers expect and require from their leaders. The research problem statement, in response to this research necessity, is: “How can follower experiences and expectations of leadership behaviours in a safety-critical commercial environment be collected, analysed, understood, structured and utilised to aid leadership development?” An ethnographic research case study approach allowed the researcher to investigate the multifarious phenomena that constitute the current views (experiences and expectations) held by followers with regard to leadership behaviour qualities. A mixed methods approach was followed. Data collection was facilitated by means of individual interviews, focus group interviews, field notes and a structured questionnaire. Qualitative data were inductively analysed to identify the recurring patterns and common themes and quantitative data were deductively analysed to assess the nature of existing conditions and relevance. Data and method triangulation was implemented to determine whether multiple sources of data agreed, and to obtain better, cross-checked insights. Findings from this research study provided academic, industry, process and methodology insights into views held by followers regarding leadership and followership constructs. Definitions and perspectives held and reported by followers regarding leaders and leadership, characteristics of preferred and undesired leadership styles, relational and emotional bonds between followers and their leaders acknowledged the presence, value and influence of follower mental models. In this case followers contextualised leadership roles and responsibilities and suggested a transformational leadership style as a desired state. Findings also emphasised a need to appreciate the importance of the social exchange and social contingency theories of leadership in order to create a better understanding of leadership by emphasising the importance of context when studying leaders and leadership from a follower perspective. Obtained follower insights resulted in a structured leadership training and development needs analysis process framed within the specific context. Future research efforts in this regard may be aimed at determining the necessity to educate followers to critically appreciate and evaluate leadership performance and creating a better understanding of how followers’ mental models internally represent complex, dynamic systems and how these representations change over time. / Business Management / DBL

The Civil Air Navigation Services Organisation, the International Federation of Air Traffic Control Associations, the International Air Transport Association and the Civil Air Navigation Services Organisation agree that professionals in the Air Navigation Services Provider Sector require successful organisational leadership to facilitate and manage transformation within the highly regulated Air Navigation Services Provider Sector. Detailed organisational leadership requirements and associated leadership training and development needs are, however, not specified by the Civil Air Navigation Services Organisation. An opportunity therefore existed to investigate leadership traits and behaviours within a specific context. This research project is contextualised within a safety-conscious, highly regulated and technology-driven industry (the South African Aviation Industry), a safety-critical sector (Air Navigation Services) and specifically the Air Traffic and Navigation Services Company. It was found that little academic research has been done to address the role of followers in the leadership process and to determine what followers expect and require from their leaders. The research problem statement, in response to this research necessity, is: “How can follower experiences and expectations of leadership behaviours in a safety-critical commercial environment be collected, analysed, understood, structured and utilised to aid leadership development?” An ethnographic research case study approach allowed the researcher to investigate the multifarious phenomena that constitute the current views (experiences and expectations) held by followers with regard to leadership behaviour qualities. A mixed methods approach was followed. Data collection was facilitated by means of individual interviews, focus group interviews, field notes and a structured questionnaire. Qualitative data were inductively analysed to identify the recurring patterns and common themes and quantitative data were deductively analysed to assess the nature of existing conditions and relevance. Data and method triangulation was implemented to determine whether multiple sources of data agreed, and to obtain better, cross-checked insights. Findings from this research study provided academic, industry, process and methodology insights into views held by followers regarding leadership and followership constructs. Definitions and perspectives held and reported by followers regarding leaders and leadership, characteristics of preferred and undesired leadership styles, relational and emotional bonds between followers and their leaders acknowledged the presence, value and influence of follower mental models. In this case followers contextualised leadership roles and responsibilities and suggested a transformational leadership style as a desired state. Findings also emphasised a need to appreciate the importance of the social exchange and social contingency theories of leadership in order to create a better understanding of leadership by emphasising the importance of context when studying leaders and leadership from a follower perspective. Obtained follower insights resulted in a structured leadership training and development needs analysis process framed within the specific context. Future research efforts in this regard may be aimed at determining the necessity to educate followers to critically appreciate and evaluate leadership performance and creating a better understanding of how followers’ mental models internally represent complex, dynamic systems and how these representations change over time. / Business Management / DBL

This program of research was aimed at investigating a novel application of computer aided text analysis (CATA). To date, CATA has been used in a wide variety of disciplines, including Psychology, but never in the area of personnel selection. Traditional personnel selection techniques have met with limited success in the prediction of costly training failures for some occupational groups such as pilot and air traffic controller. Accordingly, the overall purpose of this thesis was to assess the validity of linguistic style to select personnel. Several studies were used to examine the structure of language in a personnel selection setting; the relationship between linguistic style and the individual differences dimensions of ability, personality and vocational interests; the validity of linguistic style as a personnel selection tool and the differences in linguistic style across occupational groups. The participants for the studies contained in this thesis consisted of a group of 810 Royal Australian Air Force Pilot, Air Traffic Control and Air Defence Officer trainees. The results partially supported two of the eight hypotheses; the other six hypotheses were supported. The structure of the linguistic style measure was found to be different in this study compared with the structure found in previous research. Linguistic style was found to be unrelated to ability or vocational interests, although some overlap was found between linguistic style and the measure of personality. In terms of personnel selection validity, linguistic style was found to relate to the outcome of training for the occupations of Pilot, Air Traffic Control and Air Defence Officer. Linguistic style also demonstrated incremental validity beyond traditional ability and selection interview measures. The findings are discussed in light of the Five Factor Theory of Personality, and motivational theory and a modified spreading activation network model of semantic memory and knowledge. A general conclusion is drawn that the analysis of linguistic style is a promising new tool in the area of personnel selection.

Air traffic flow management is a critical component of air transport operations because at some point in time, often very frequently, one of more of the critical resources in the air transportation network has significantly reduced capacity, resulting in congestion and delay for airlines and other entities and individuals who use the network. Typically, these “bottlenecks” are noticed at a given airport or terminal area, but they also occur in en route airspace. The two-stage combinatorial optimization framework for air traffic flow management under constrained capacity that is presented in this thesis, represents a important step towards the full consideration of the combinatorial nature of air traffic flow management decision that is often ignored or dealt with via priority-based schemes. It also illustrates the similarities between two traffic flow management problems that heretofore were considered to be quite distinct. The runway systems at major airports are highly constrained resources. From the perspective of arrivals, unnecessary delays and emissions may occur during peak periods when one or more runways at an airport are in great demand while other runways at the same airport are operating under their capacity. The primary cause of this imbalance in runway utilization is that the traffic flow into and out of the terminal areas is asymmetric (as a result of airline scheduling practices), and arrivals are typically assigned to the runway nearest the fix through which they enter the terminal areas. From the perspective of departures, delays and emissions occur because arrivals take precedence over departures with regard to the utilization of runways (despite the absence of binding safety constraints), and because arrival trajectories often include level segments that ensure “procedural separation” from arriving traffic while planes are not allowed to climb unrestricted along the most direct path to their destination. Similar to the runway systems, the terminal radar approach control facilities (TRACON) boundary fixes are also constrained resources of the terminal airspace. Because some arrival traffic from different airports merges at an arrival fix, a queue for the terminal areas generally starts to form at the arrival fix, which are caused by delays due to heavy arriving traffic streams. The arrivals must then absorb these delays by path stretching and adjusting their speed, resulting in unplanned fuel consumption. However, these delays are often not distributed evenly. As a result, some arrival fixes experience severe delays while, similar to the runway systems, the other arrival fixes might experience no delays at all. The goal of this thesis is to develop a combined optimization approach for terminal airspace flow management that assigns a TRACON boundary fix and a runway to each flight while minimizing the required fuel burn and emissions. The approach lessens the severity of terminal capacity shortage caused by and imbalance of traffic demand by shunting flights from current positions to alternate runways. This is done by considering every possible path combination. To attempt to solve the congestion of the terminal airspace at both runways and arrival fixes, this research focuses on two sequential optimizations. The fix assignments are dealt with by considering, simultaneously, the capacity constraints of fixes and runways as well as the fuel consumption and emissions of each flight. The research also develops runway assignments with runway scheduling such that the total emissions produced in the terminal area and on the airport surface are minimized. The two-stage sequential framework is also extended to en route airspace. When en route airspace loses its capacity for any reason, e.g. severe weather condition, air traffic controllers and flight operators plan flight schedules together based on the given capacity limit, thereby maximizing en route throughput and minimizing flight operators' costs. However, the current methods have limitations due to the lacks of consideration of the combinatorial nature of air traffic flow management decision. One of the initial attempts to overcome these limitations is the Collaborative Trajectory Options Program (CTOP), which will be initiated soon by the Federal Aviation Administration (FAA). The developed two-stage combinatorial optimization framework fits this CTOP perfectly from the flight operator's perspective. The first stage is used to find an optimal slot allocation for flights under satisfying the ration by schedule (RBS) algorithm of the FAA. To solve the formulated first stage problem efficiently, two different solution methodologies, a heuristic algorithm and a modified branch and bound algorithm, are presented. Then, flights are assigned to the resulting optimized slots in the second stage so as to minimize the flight operator's costs.

A fundamental question in a sequential decision making setting under uncertainty is “how to allocate resources amongst competing entities so as to maximize the rewards accumulated in the long run?”. The resources allocated may be either abstract quantities such as time or concrete quantities such as manpower. The sequential decision making setting involves one or more agents interacting with an environment to procure rewards at every time instant and the goal is to find an optimal policy for choosing actions. Most of these problems involve multiple (infinite) stages and the objective function is usually a long-run performance objective. The problem is further complicated by the uncertainties in the sys-tem, for instance, the stochastic noise and partial observability in a single-agent setting or private information of the agents in a multi-agent setting. The dimensionality of the problem also plays an important role in the solution methodology adopted. Most of the real-world problems involve high-dimensional state and action spaces and an important design aspect of the solution is the choice of knowledge representation. The aim of this thesis is to answer important resource allocation related questions in different real-world application contexts and in the process contribute novel algorithms to the theory as well. The resource allocation algorithms considered include those from stochastic optimization, stochastic control and reinforcement learning. A number of new algorithms are developed as well. The application contexts selected encompass both single and multi-agent systems, abstract and concrete resources and contain high-dimensional state and control spaces. The empirical results from the various studies performed indicate that the algorithms presented here perform significantly better than those previously proposed in the literature. Further, the algorithms presented here are also shown to theoretically converge, hence guaranteeing optimal performance. We now briefly describe the various studies conducted here to investigate problems of resource allocation under uncertainties of different kinds: Vehicular Traffic Control The aim here is to optimize the ‘green time’ resource of the individual lanes in road networks that maximizes a certain long-term performance objective. We develop several reinforcement learning based algorithms for solving this problem. In the infinite horizon discounted Markov decision process setting, a Q-learning based traffic light control (TLC) algorithm that incorporates feature based representations and function approximation to handle large road networks is proposed, see Prashanth and Bhatnagar [2011b]. This TLC algorithm works with coarse information, obtained via graded thresholds, about the congestion level on the lanes of the road network. However, the graded threshold values used in the above Q-learning based TLC algorithm as well as several other graded threshold-based TLC algorithms that we propose, may not be optimal for all traffic conditions. We therefore also develop a new algorithm based on SPSA to tune the associated thresholds to the ‘optimal’ values (Prashanth and Bhatnagar [2012]). Our thresh-old tuning algorithm is online, incremental with proven convergence to the optimal values of thresholds. Further, we also study average cost traffic signal control and develop two novel reinforcement learning based TLC algorithms with function approximation (Prashanth and Bhatnagar [2011c]). Lastly, we also develop a feature adaptation method for ‘optimal’ feature selection (Bhatnagar et al. [2012a]). This algorithm adapts the features in a way as to converge to an optimal set of features, which can then be used in the algorithm. Service Systems The aim here is to optimize the ‘workforce’, the critical resource of any service system. However, adapting the staffing levels to the workloads in such systems is nontrivial as the queue stability and aggregate service level agreement (SLA) constraints have to be complied with. We formulate this problem as a constrained hidden Markov process with a (discrete) worker parameter and propose simultaneous perturbation based simulation optimization algorithms for this purpose. The algorithms include both first order as well as second order methods and incorporate SPSA based gradient estimates in the primal, with dual ascent for the Lagrange multipliers. All the algorithms that we propose are online, incremental and are easy to implement. Further, they involve a certain generalized smooth projection operator, which is essential to project the continuous-valued worker parameter updates obtained from the SASOC algorithms onto the discrete set. We validate our algorithms on five real-life service systems and compare their performance with a state-of-the-art optimization tool-kit OptQuest. Being ��times faster than OptQuest, our scheme is particularly suitable for adaptive labor staffing. Also, we observe that it guarantees convergence and finds better solutions than OptQuest in many cases. Wireless Sensor Networks The aim here is to allocate the ‘sleep time’ (resource) of the individual sensors in an intrusion detection application such that the energy consumption from the sensors is reduced, while keeping the tracking error to a minimum. We model this sleep–wake scheduling problem as a partially-observed Markov decision process (POMDP) and propose novel RL-based algorithms -with both long-run discounted and average cost objectives -for solving this problem. All our algorithms incorporate function approximation and feature-based representations to handle the curse of dimensionality. Further, the feature selection scheme used in each of the proposed algorithms intelligently manages the energy cost and tracking cost factors, which in turn, assists the search for the optimal sleeping policy. The results from the simulation experiments suggest that our proposed algorithms perform better than a recently proposed algorithm from Fuemmeler and Veeravalli [2008], Fuemmeler et al. [2011]. Mechanism Design The setting here is of multiple self-interested agents with limited capacities, attempting to maximize their individual utilities, which often comes at the expense of the group’s utility. The aim of the resource allocator here then is to efficiently allocate the resource (which is being contended for, by the agents) and also maximize the social welfare via the ‘right’ transfer of payments. In other words, the problem is to find an incentive compatible transfer scheme following a socially efficient allocation. We present two novel mechanisms with progressively realistic assumptions about agent types aimed at economic scenarios where agents have limited capacities. For the simplest case where agent types consist of a unit cost of production and a capacity that does not change with time, we provide an enhancement to the static mechanism of Dash et al. [2007] that effectively deters misreport of the capacity type element by an agent to receive an allocation beyond its capacity, which thereby damages other agents. Our model incorporates an agent’s preference to harm other agents through a additive factor in the utility function of an agent and the mechanism we propose achieves strategy proofness by means of a novel penalty scheme. Next, we consider a dynamic setting where agent types evolve and the individual agents here again have a preference to harm others via capacity misreports. We show via a counterexample that the dynamic pivot mechanism of Bergemann and Valimaki [2010] cannot be directly applied in our setting with capacity-limited alim¨agents. We propose an enhancement to the mechanism of Bergemann and V¨alim¨aki [2010] that ensures truth telling w.r.t. capacity type element through a variable penalty scheme (in the spirit of the static mechanism). We show that each of our mechanisms is ex-post incentive compatible, ex-post individually rational, and socially efficient

The subject of this diploma thesis is variant design of adaptation of T- intersection to crossroad at Frýdek-Místek. At first, there was made traffic forecast of generated traffic from regional planning. After that, there were made traffic forecast from relocation of road II/477. Then for every traffic forecast there were made two more variants of designs. The first variant is designed by one lane roundabout and signal-controlled intersection with signal timing plan. The second and the third variant are designed by turbo roundabout and signal-controlled intersection with signal timing plan. All variants have their own capacity analysis.

Improving road safety and optimizing the traffic flow – these are major challenges at urban intersections. In particular, strengthening the needs of vulnerable road users (VRUs) such as pedestrians, cyclists and e-scooter drivers is becoming increasingly important, combined with support for automated and connected driving. In the LTSA project, a new system is being developed and implemented exactly for this purpose. The LTSA is an intelligent infrastructure system that records the movements of all road users in the vicinity of an intersection using a combination of several locally installed sensors e.g. video, radar, lidar. AI-based software processes the detected data, interprets the movement patterns of road users and continuously analyzes the current traffic situation (digital twin). Potentially dangerous situations are identified, e.g. right turning vehicles and simultaneously crossing VRUs, and warning messages can be sent to connected road users via vehicle-to-infrastructure communication (V2X). Automated vehicles can thus adapt their driving maneuvers. In addition, the collected data is applied to improve traffic light control depending on the current traffic situation, especially for VRUs. This abstract describes the LTSA system and its implementation in the German city of Potsdam. The current project state is presented and an outlook on next steps is given.

Air traffic services (ATS) play an important role for flight safety. Remote air traffic services (RATS) represent a novel, more digitalized, ATS solution. In some aspects, RATS can be argued to outperform conventional ATS. However, as it entails various sociotechnical obstacles, making RATS the dominant solution for ATS is challenging. An inadequate awareness of such sociotechnical obstacles potentially impedes the competitiveness of RATS in general and the RATS providers in particular. This study intends to - from a sociotechnical perspective - identify main obstacles as faced by RATS when aspiring to become the dominant solution for ATS. In order to identify such obstacles, an abductive case study has been conducted. Empirical data was primarily gathered by semi-structured interviews with 10 key stakeholders involved, directly or indirectly, with RATS. The study is delimited to principally gather empirics from Sweden and the United Kingdom. Theoretical concepts of Large Technical Systems (LTS) and the Multilevel Perspective (MLP) are employed to understand and analyze the empirical data. The identified obstacles faced by RATS are mapped into the different levels of the MLP. Obstacles have been identified in all levels of the MLP. The most prominent obstacles seem to lay in social aspects of change processes, a proposition-perception gap, and connectivity infrastructure dependency. / Flygtrafiktjänster (ATS) spelar en viktig roll för flygsäkerhet. Fjärrstyrda flygtrafiktjänster (RATS) representerar en ny, i högre grad digitaliserad, lösning för ATS. I vissa avseenden kan RATS anses prestera bättre än konventionellt utförda flygtrafiktjänster. Vägen mot ett tillstånd där RATS är den dominerande lösningen för RATS är dock kantad av olika sociotekniska utmaningar. En otillräcklig medvetenhet om dessa utmaningar kan potentiellt minska konkurrenskraften för RATS i allmänhet och för utvecklare av RATS i synnerhet. Denna studie syftar till att, från ett sociotekniskt perspektiv, identifiera utmaningar som RATS står inför i, en situation där RATS ämnar ta steg mot att bli den dominerande lösningen för ATS. För att identifiera sådana utmaningar har en abduktiv fallstudie utförts. Empirisk data samlades huvudsakligen in genom semi-strukturerade intervjuer med 10 intressenter, direkt eller indirekt involverade, i RATS. Studien är avgränsad till att huvudsakligen samla in empirisk data från Sverige och Storbritannien. Teoretiska ramverk och begrepp beträffande Large Technical Systems (LTS) och Multilevel Perspective (MLP) används för att förstå och analysera empirisk data. De identifierade utmaningarna kopplas till de olika nivåerna i MLP. Utmaningar har identifierats i alla nivåer av MLP, och de mest framstående utmaningarna tycks ligga i sociala aspekter av förändringsprocesser, ett gap mellan proposition och perception, samt ett beroende av uppkopplingsinfrastruktur.

Introduction Colour codes are used extensively in railways to convey specific information governing movement of trains and equipment on the track. One such task is the railway traffic control display that uses colour coded video display terminals (VDTs) to convey information of the signal status, train movements and track status to the railway dispatcher. Because individuals with colour vision deficiencies (colour-defectives) may have problems with these colour-related tasks, questions were raised about the suitability of colour vision defectives to work as railway dispatchers. In order to answer that, a VDT based Dispatch Colour Vision Test based on the actual railway traffic display was developed previously. Purpose The main purpose of this thesis is to establish the pass/fail scores and repeatability of the VDT based Dispatch Colour Vision Test that resulted from the previous work. Secondly, the study will also examine whether clinical colour vision tests can predict the performance on the practical task. Methods The Dispatch colour vision test was divided into three parts based on the colour sets that the dispatcher had to recognize. The testing computer system used the the same RGB colour settings, graphics card and monitor as in railway dispatch centres. Subjects viewed the display colours and entered their responses by using a mouse. One hundred colour-normals and fifty two colour-defectives participated in the initial session. The test was repeated approximately after 10 days. Ninety three colour-normals (93%) and 44 (85%) colour-defectives participated in the second session. The total number of errors and time to complete the test was recorded. Results Pass/Fail on the VDT Dispatch colour vision test was based on colour-normal errors. Ignoring orange-red errors, two errors were allowed in the first session and one error was allowed in the second session. Based on this criterion, 42% of colour vision defectives could perform as well as colour normal subjects. The kappa coefficient of agreement between the sessions for the colour-defectives was 0.85. Detailed analysis between the colour differences and the errors showed only a weak correlation between the two. However, the general trend was that colour-defectives made more errors on colours that were near or along the same lines of confusions and the colours were nearly equal in luminance. Nevertheless, the interaction between luminance and location with respect to the lines of confusion was not easy to interpret. The time to complete the task for the colour-defectives who passed the test took 14% longer than colour-normals and colour-defectives who failed took 30% longer than colour-normals. All groups showed a similar learning effect with an 18% reduction in mean times to complete the task at the second session. There was no significant correlation between the number of errors and time to complete or the clinical tests and completion times for any of the groups. Clinical colour vision tests have limited value in predicting performance of colour-defectives on the Dispatch test. Logistic analysis results showed that the Farnsworth D-15 along with the Nagel was the best predictor of the VDT Dispatch colour test pass/fail results. However, these results were similar to using the Farnsworth D-15 test alone. Ninety-five percent of the individuals who failed the Farnsworth D-15 also failed the Dispatch test. However, approximately 25% of the individuals who passed the Farnsworth D-15 failed the VDT Dispatch colour test which is an unacceptable false negative rate. These results indicate the Farnsworth D-15 can only be used to predict who is likely to fail the dispatch test. Conclusions Forty two percent of colour vision defectives could perform as well as colour-normals in identifying VDT railway display colours and time to complete the task. Clinical colour vision tests were inadequate predictors of performance in practical task, overall. However, the Farnsworth D-15 was a very good predictor of who would fail the VDT Dispatch test. Hence a practical VDT Dispatch test may be needed to test individuals who would want to work as railway dispatchers.

Introduction Colour codes are used extensively in railways to convey specific information governing movement of trains and equipment on the track. One such task is the railway traffic control display that uses colour coded video display terminals (VDTs) to convey information of the signal status, train movements and track status to the railway dispatcher. Because individuals with colour vision deficiencies (colour-defectives) may have problems with these colour-related tasks, questions were raised about the suitability of colour vision defectives to work as railway dispatchers. In order to answer that, a VDT based Dispatch Colour Vision Test based on the actual railway traffic display was developed previously. Purpose The main purpose of this thesis is to establish the pass/fail scores and repeatability of the VDT based Dispatch Colour Vision Test that resulted from the previous work. Secondly, the study will also examine whether clinical colour vision tests can predict the performance on the practical task. Methods The Dispatch colour vision test was divided into three parts based on the colour sets that the dispatcher had to recognize. The testing computer system used the the same RGB colour settings, graphics card and monitor as in railway dispatch centres. Subjects viewed the display colours and entered their responses by using a mouse. One hundred colour-normals and fifty two colour-defectives participated in the initial session. The test was repeated approximately after 10 days. Ninety three colour-normals (93%) and 44 (85%) colour-defectives participated in the second session. The total number of errors and time to complete the test was recorded. Results Pass/Fail on the VDT Dispatch colour vision test was based on colour-normal errors. Ignoring orange-red errors, two errors were allowed in the first session and one error was allowed in the second session. Based on this criterion, 42% of colour vision defectives could perform as well as colour normal subjects. The kappa coefficient of agreement between the sessions for the colour-defectives was 0.85. Detailed analysis between the colour differences and the errors showed only a weak correlation between the two. However, the general trend was that colour-defectives made more errors on colours that were near or along the same lines of confusions and the colours were nearly equal in luminance. Nevertheless, the interaction between luminance and location with respect to the lines of confusion was not easy to interpret. The time to complete the task for the colour-defectives who passed the test took 14% longer than colour-normals and colour-defectives who failed took 30% longer than colour-normals. All groups showed a similar learning effect with an 18% reduction in mean times to complete the task at the second session. There was no significant correlation between the number of errors and time to complete or the clinical tests and completion times for any of the groups. Clinical colour vision tests have limited value in predicting performance of colour-defectives on the Dispatch test. Logistic analysis results showed that the Farnsworth D-15 along with the Nagel was the best predictor of the VDT Dispatch colour test pass/fail results. However, these results were similar to using the Farnsworth D-15 test alone. Ninety-five percent of the individuals who failed the Farnsworth D-15 also failed the Dispatch test. However, approximately 25% of the individuals who passed the Farnsworth D-15 failed the VDT Dispatch colour test which is an unacceptable false negative rate. These results indicate the Farnsworth D-15 can only be used to predict who is likely to fail the dispatch test. Conclusions Forty two percent of colour vision defectives could perform as well as colour-normals in identifying VDT railway display colours and time to complete the task. Clinical colour vision tests were inadequate predictors of performance in practical task, overall. However, the Farnsworth D-15 was a very good predictor of who would fail the VDT Dispatch test. Hence a practical VDT Dispatch test may be needed to test individuals who would want to work as railway dispatchers.